paper_id stringlengths 15 35 | title stringlengths 26 182 | authors listlengths 1 25 | isca_url stringlengths 66 86 | pdf_url stringlengths 65 85 | doi stringlengths 27 30 | pages stringlengths 3 9 | bibtex large_stringlengths 294 850 | abstract large_stringlengths 247 1.59k | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
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|---|---|---|---|---|---|---|---|---|---|---|
singh21_interspeech | LEAP Submission for the Third DIHARD Diarization Challenge | [
"Prachi Singh",
"Rajat Varma",
"Venkat Krishnamohan",
"Srikanth Raj Chetupalli",
"Sriram Ganapathy"
] | https://www.isca-archive.org/interspeech_2021/singh21_interspeech.html | https://www.isca-archive.org/interspeech_2021/singh21_interspeech.pdf | 10.21437/Interspeech.2021-728 | 3545-3549 | @inproceedings{singh21_interspeech,
title = {{LEAP Submission for the Third DIHARD Diarization Challenge}},
author = {Prachi Singh and Rajat Varma and Venkat Krishnamohan and Srikanth Raj Chetupalli and Sriram Ganapathy},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3545--3549},
... | The LEAP submission for DIHARD-III challenge is described in this paper.
The proposed system is composed of a speech bandwidth classifier, and
diarization systems fine-tuned for narrowband and wideband speech separately.
We use an end-to-end speaker diarization system for the narrowband
conversational telephone speech ... | 2104.02359 | title_snapshot |
zhang21w_interspeech | Investigation of Spatial-Acoustic Features for Overlapping Speech Detection in Multiparty Meetings | [
"Shiliang Zhang",
"Siqi Zheng",
"Weilong Huang",
"Ming Lei",
"Hongbin Suo",
"Jinwei Feng",
"Zhijie Yan"
] | https://www.isca-archive.org/interspeech_2021/zhang21w_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21w_interspeech.pdf | 10.21437/Interspeech.2021-747 | 3550-3554 | @inproceedings{zhang21w_interspeech,
title = {{Investigation of Spatial-Acoustic Features for Overlapping Speech Detection in Multiparty Meetings}},
author = {Shiliang Zhang and Siqi Zheng and Weilong Huang and Ming Lei and Hongbin Suo and Jinwei Feng and Zhijie Yan},
year = {2021},
booktitle = {{In... | In this paper, we propose an overlapping speech detection (OSD) system
for real multiparty meetings. Different from previous works on single-channel
recordings or simulated data, we conduct research on real multi-channel
data recorded by an 8-microphone array. We investigate how spatial
information provided by multi-ch... | null | null |
he21c_interspeech | Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker | [
"Maokui He",
"Desh Raj",
"Zili Huang",
"Jun Du",
"Zhuo Chen",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2021/he21c_interspeech.html | https://www.isca-archive.org/interspeech_2021/he21c_interspeech.pdf | 10.21437/Interspeech.2021-750 | 3555-3559 | @inproceedings{he21c_interspeech,
title = {{Target-Speaker Voice Activity Detection with Improved i-Vector Estimation for Unknown Number of Speaker}},
author = {Maokui He and Desh Raj and Zili Huang and Jun Du and Zhuo Chen and Shinji Watanabe},
year = {2021},
booktitle = {{Interspeech 2021}},
pag... | Target-speaker voice activity detection (TS-VAD) has recently shown
promising results for speaker diarization on highly overlapped speech.
However, the original model requires a fixed (and known) number of
speakers, which limits its application to real conversations. In this
paper, we extend TS-VAD to speaker diarizati... | 2108.03342 | title_snapshot |
dawalatabad21_interspeech | ECAPA-TDNN Embeddings for Speaker Diarization | [
"Nauman Dawalatabad",
"Mirco Ravanelli",
"François Grondin",
"Jenthe Thienpondt",
"Brecht Desplanques",
"Hwidong Na"
] | https://www.isca-archive.org/interspeech_2021/dawalatabad21_interspeech.html | https://www.isca-archive.org/interspeech_2021/dawalatabad21_interspeech.pdf | 10.21437/Interspeech.2021-941 | 3560-3564 | @inproceedings{dawalatabad21_interspeech,
title = {{ECAPA-TDNN Embeddings for Speaker Diarization}},
author = {Nauman Dawalatabad and Mirco Ravanelli and François Grondin and Jenthe Thienpondt and Brecht Desplanques and Hwidong Na},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {356... | Learning robust speaker embeddings is a crucial step in speaker diarization.
Deep neural networks can accurately capture speaker discriminative
characteristics and popular deep embeddings such as x-vectors are nowadays
a fundamental component of modern diarization systems. Recently, some
improvements over the standard ... | 2104.01466 | title_snapshot |
kinoshita21_interspeech | Advances in Integration of End-to-End Neural and Clustering-Based Diarization for Real Conversational Speech | [
"Keisuke Kinoshita",
"Marc Delcroix",
"Naohiro Tawara"
] | https://www.isca-archive.org/interspeech_2021/kinoshita21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kinoshita21_interspeech.pdf | 10.21437/Interspeech.2021-1004 | 3565-3569 | @inproceedings{kinoshita21_interspeech,
title = {{Advances in Integration of End-to-End Neural and Clustering-Based Diarization for Real Conversational Speech}},
author = {Keisuke Kinoshita and Marc Delcroix and Naohiro Tawara},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3565--3... | Recently, we proposed a novel speaker diarization method called End-to-End-Neural-Diarization-vector
clustering (EEND-vector clustering) that integrates clustering-based
and end-to-end neural network-based diarization approaches into one
framework. The proposed method combines advantages of both frameworks,
i.e. high d... | 2105.09040 | title_snapshot |
ryant21_interspeech | The Third DIHARD Diarization Challenge | [
"Neville Ryant",
"Prachi Singh",
"Venkat Krishnamohan",
"Rajat Varma",
"Kenneth Church",
"Christopher Cieri",
"Jun Du",
"Sriram Ganapathy",
"Mark Liberman"
] | https://www.isca-archive.org/interspeech_2021/ryant21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ryant21_interspeech.pdf | 10.21437/Interspeech.2021-1208 | 3570-3574 | @inproceedings{ryant21_interspeech,
title = {{The Third DIHARD Diarization Challenge}},
author = {Neville Ryant and Prachi Singh and Venkat Krishnamohan and Rajat Varma and Kenneth Church and Christopher Cieri and Jun Du and Sriram Ganapathy and Mark Liberman},
year = {2021},
booktitle = {{Interspee... | DIHARD III was the third in a series of speaker diarization challenges
intended to improve the robustness of diarization systems to variability
in recording equipment, noise conditions, and conversational domain.
Speaker diarization was evaluated under two speech activity conditions
(diarization from a reference speech... | 2012.01477 | title_snapshot |
leung21_interspeech | Robust End-to-End Speaker Diarization with Conformer and Additive Margin Penalty | [
"Tsun-Yat Leung",
"Lahiru Samarakoon"
] | https://www.isca-archive.org/interspeech_2021/leung21_interspeech.html | https://www.isca-archive.org/interspeech_2021/leung21_interspeech.pdf | 10.21437/Interspeech.2021-1377 | 3575-3579 | @inproceedings{leung21_interspeech,
title = {{Robust End-to-End Speaker Diarization with Conformer and Additive Margin Penalty}},
author = {Tsun-Yat Leung and Lahiru Samarakoon},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3575--3579},
doi = {10.21437/Interspeech.2021-137... | Traditionally, a speaker diarization system has multiple components
to extract and cluster speaker embeddings. However, end-to-end diarization
is more desirable as it facilitates optimizing one model in contrast
to multiple components in a traditional set up. Moreover, end-to-end
diarization systems are capable of hand... | null | null |
obrien21_interspeech | Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface | [
"Benjamin O’Brien",
"Natalia Tomashenko",
"Anaïs Chanclu",
"Jean-François Bonastre"
] | https://www.isca-archive.org/interspeech_2021/obrien21_interspeech.html | https://www.isca-archive.org/interspeech_2021/obrien21_interspeech.pdf | 10.21437/Interspeech.2021-1588 | 3580-3584 | @inproceedings{obrien21_interspeech,
title = {{Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface}},
author = {Benjamin O’Brien and Natalia Tomashenko and Anaïs Chanclu and Jean-François Bonastre},
year = {2021},
booktitle = {{Interspeech 2... | Our study examined the performance of evaluators tasked to group natural
and anonymised speech recordings into clusters based on their perceived
similarities. Speech stimuli were selected from the VCTK corpus; two
systems developed for the VoicePrivacy 2020 Challenge were used for
anonymisation. The Baseline-1 (B1) sys... | null | null |
karra21_interspeech | Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings | [
"Kiran Karra",
"Alan McCree"
] | https://www.isca-archive.org/interspeech_2021/karra21_interspeech.html | https://www.isca-archive.org/interspeech_2021/karra21_interspeech.pdf | 10.21437/Interspeech.2021-1807 | 3585-3589 | @inproceedings{karra21_interspeech,
title = {{Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings}},
author = {Kiran Karra and Alan McCree},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3585--3589},
doi = {10.21437/Interspeech.2021-1... | Many modern systems for speaker diarization, such as the recently-developed
VBx approach, rely on clustering of DNN speaker embeddings followed
by resegmentation. Two problems with this approach are that the DNN
is not directly optimized for this task, and the parameters need significant
retuning for different applicat... | 2104.02469 | title_snapshot |
hong21_interspeech | Federated Learning with Dynamic Transformer for Text to Speech | [
"Zhenhou Hong",
"Jianzong Wang",
"Xiaoyang Qu",
"Jie Liu",
"Chendong Zhao",
"Jing Xiao"
] | https://www.isca-archive.org/interspeech_2021/hong21_interspeech.html | https://www.isca-archive.org/interspeech_2021/hong21_interspeech.pdf | 10.21437/Interspeech.2021-2039 | 3590-3594 | @inproceedings{hong21_interspeech,
title = {{Federated Learning with Dynamic Transformer for Text to Speech}},
author = {Zhenhou Hong and Jianzong Wang and Xiaoyang Qu and Jie Liu and Chendong Zhao and Jing Xiao},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3590--3594},
doi ... | Text to speech (TTS) is a crucial task for user interaction, but TTS
model training relies on a sizable set of high-quality original datasets.
Due to privacy and security issues, the original datasets are usually
unavailable directly. Recently, federated learning proposes a popular
distributed machine learning paradigm... | 2107.08795 | title_snapshot |
nguyen21e_interspeech | LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks | [
"Huu-Kim Nguyen",
"Kihyuk Jeong",
"Seyun Um",
"Min-Jae Hwang",
"Eunwoo Song",
"Hong-Goo Kang"
] | https://www.isca-archive.org/interspeech_2021/nguyen21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/nguyen21e_interspeech.pdf | 10.21437/Interspeech.2021-188 | 3595-3599 | @inproceedings{nguyen21e_interspeech,
title = {{LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks}},
author = {Huu-Kim Nguyen and Kihyuk Jeong and Seyun Um and Min-Jae Hwang and Eunwoo Song and Hong-Goo Kang},
year = {2021},
booktitle = {{I... | In this paper, we propose a lightweight end-to-end text-to-speech model
that can generate high-quality speech at breakneck speed. In our proposed
model, a feature prediction module and a waveform generation module
are combined within a single framework. The feature prediction module,
which consists of two independent s... | null | null |
tang21b_interspeech | Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration | [
"Chuanxin Tang",
"Chong Luo",
"Zhiyuan Zhao",
"Dacheng Yin",
"Yucheng Zhao",
"Wenjun Zeng"
] | https://www.isca-archive.org/interspeech_2021/tang21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/tang21b_interspeech.pdf | 10.21437/Interspeech.2021-189 | 3600-3604 | @inproceedings{tang21b_interspeech,
title = {{Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration}},
author = {Chuanxin Tang and Chong Luo and Zhiyuan Zhao and Dacheng Yin and Yucheng Zhao and Wenjun Zeng},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3600--3604},... | Given a piece of speech and its transcript text, text-based speech
editing aims to generate speech that can be seamlessly inserted into
the given speech by editing the transcript. Existing methods adopt
a two-stage approach: synthesize the input text using a generic text-to-speech
(TTS) engine and then transform the vo... | 2109.05426 | title_snapshot |
jeong21_interspeech | Diff-TTS: A Denoising Diffusion Model for Text-to-Speech | [
"Myeonghun Jeong",
"Hyeongju Kim",
"Sung Jun Cheon",
"Byoung Jin Choi",
"Nam Soo Kim"
] | https://www.isca-archive.org/interspeech_2021/jeong21_interspeech.html | https://www.isca-archive.org/interspeech_2021/jeong21_interspeech.pdf | 10.21437/Interspeech.2021-469 | 3605-3609 | @inproceedings{jeong21_interspeech,
title = {{Diff-TTS: A Denoising Diffusion Model for Text-to-Speech}},
author = {Myeonghun Jeong and Hyeongju Kim and Sung Jun Cheon and Byoung Jin Choi and Nam Soo Kim},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3605--3609},
doi = {10... | Although neural text-to-speech (TTS) models have attracted a lot of
attention and succeeded in generating human-like speech, there is still
room for improvements to its naturalness and architectural efficiency.
In this work, we propose a novel non-autoregressive TTS model, namely
Diff-TTS, which achieves highly natural... | 2104.01409 | title_snapshot |
bae21_interspeech | Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech | [
"Jae-Sung Bae",
"Taejun Bak",
"Young-Sun Joo",
"Hoon-Young Cho"
] | https://www.isca-archive.org/interspeech_2021/bae21_interspeech.html | https://www.isca-archive.org/interspeech_2021/bae21_interspeech.pdf | 10.21437/Interspeech.2021-471 | 3610-3614 | @inproceedings{bae21_interspeech,
title = {{Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech}},
author = {Jae-Sung Bae and Taejun Bak and Young-Sun Joo and Hoon-Young Cho},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3610--3614},
doi = {10.214... | In this paper, we propose methods for improving the modeling performance
of a Transformer-based non-autoregressive text-to-speech (TNA-TTS)
model. Although the text encoder and audio decoder handle different
types and lengths of data (i.e., text and audio), the TNA-TTS models
are not designed considering these variatio... | 2106.15144 | title_snapshot |
polyak21_interspeech | Speech Resynthesis from Discrete Disentangled Self-Supervised Representations | [
"Adam Polyak",
"Yossi Adi",
"Jade Copet",
"Eugene Kharitonov",
"Kushal Lakhotia",
"Wei-Ning Hsu",
"Abdelrahman Mohamed",
"Emmanuel Dupoux"
] | https://www.isca-archive.org/interspeech_2021/polyak21_interspeech.html | https://www.isca-archive.org/interspeech_2021/polyak21_interspeech.pdf | 10.21437/Interspeech.2021-475 | 3615-3619 | @inproceedings{polyak21_interspeech,
title = {{Speech Resynthesis from Discrete Disentangled Self-Supervised Representations}},
author = {Adam Polyak and Yossi Adi and Jade Copet and Eugene Kharitonov and Kushal Lakhotia and Wei-Ning Hsu and Abdelrahman Mohamed and Emmanuel Dupoux},
year = {2021},
b... | We propose using self-supervised discrete representations for the task
of speech resynthesis. To generate disentangled representation, we
separately extract low-bitrate representations for speech content,
prosodic information, and speaker identity. This allows to synthesize
speech in a controllable manner. We analyze v... | 2104.00355 | title_snapshot |
karanasou21_interspeech | A Learned Conditional Prior for the VAE Acoustic Space of a TTS System | [
"Penny Karanasou",
"Sri Karlapati",
"Alexis Moinet",
"Arnaud Joly",
"Ammar Abbas",
"Simon Slangen",
"Jaime Lorenzo-Trueba",
"Thomas Drugman"
] | https://www.isca-archive.org/interspeech_2021/karanasou21_interspeech.html | https://www.isca-archive.org/interspeech_2021/karanasou21_interspeech.pdf | 10.21437/Interspeech.2021-528 | 3620-3624 | @inproceedings{karanasou21_interspeech,
title = {{A Learned Conditional Prior for the VAE Acoustic Space of a TTS System}},
author = {Penny Karanasou and Sri Karlapati and Alexis Moinet and Arnaud Joly and Ammar Abbas and Simon Slangen and Jaime Lorenzo-Trueba and Thomas Drugman},
year = {2021},
boo... | Many factors influence speech yielding different renditions of a given
sentence. Generative models, such as variational autoencoders (VAEs),
capture this variability and allow multiple renditions of the same
sentence via sampling. The degree of prosodic variability depends heavily
on the prior that is used when samplin... | 2106.10229 | title_snapshot |
paul21_interspeech | A Universal Multi-Speaker Multi-Style Text-to-Speech via Disentangled Representation Learning Based on Rényi Divergence Minimization | [
"Dipjyoti Paul",
"Sankar Mukherjee",
"Yannis Pantazis",
"Yannis Stylianou"
] | https://www.isca-archive.org/interspeech_2021/paul21_interspeech.html | https://www.isca-archive.org/interspeech_2021/paul21_interspeech.pdf | 10.21437/Interspeech.2021-660 | 3625-3629 | @inproceedings{paul21_interspeech,
title = {{A Universal Multi-Speaker Multi-Style Text-to-Speech via Disentangled Representation Learning Based on Rényi Divergence Minimization}},
author = {Dipjyoti Paul and Sankar Mukherjee and Yannis Pantazis and Yannis Stylianou},
year = {2021},
booktitle = {{In... | In this paper, we present a universal multi-speaker, multi-style Text-to-Speech
(TTS) synthesis system which is able to generate speech from text with
speaker characteristics and speaking style similar to a given reference
signal. Training is conducted on non-parallel data and generates voices
in an unsupervised manner... | null | null |
wu21g_interspeech | Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder | [
"Yi-Chiao Wu",
"Cheng-Hung Hu",
"Hung-Shin Lee",
"Yu-Huai Peng",
"Wen-Chin Huang",
"Yu Tsao",
"Hsin-Min Wang",
"Tomoki Toda"
] | https://www.isca-archive.org/interspeech_2021/wu21g_interspeech.html | https://www.isca-archive.org/interspeech_2021/wu21g_interspeech.pdf | 10.21437/Interspeech.2021-806 | 3630-3634 | @inproceedings{wu21g_interspeech,
title = {{Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder}},
author = {Yi-Chiao Wu and Cheng-Hung Hu and Hung-Shin Lee and Yu-Huai Peng and Wen-Chin Huang and Yu Tsao and Hsin-Min Wang and Tomoki Toda},
year = {2021},
b... | Nowadays, neural vocoders can generate very high-fidelity speech when
a bunch of training data is available. Although a speaker-dependent
(SD) vocoder usually outperforms a speaker-independent (SI) vocoder,
it is impractical to collect a large amount of data of a specific target
speaker for most real-world applications... | 2106.05629 | title_snapshot |
chung21_interspeech | Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech | [
"Hyunseung Chung",
"Sang-Hoon Lee",
"Seong-Whan Lee"
] | https://www.isca-archive.org/interspeech_2021/chung21_interspeech.html | https://www.isca-archive.org/interspeech_2021/chung21_interspeech.pdf | 10.21437/Interspeech.2021-831 | 3635-3639 | @inproceedings{chung21_interspeech,
title = {{Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech}},
author = {Hyunseung Chung and Sang-Hoon Lee and Seong-Whan Lee},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3635--3639},
doi = {10.2143... | Text-to-speech (TTS) synthesis is the process of producing synthesized
speech from text or phoneme input. Traditional TTS models contain multiple
processing steps and require external aligners, which provide attention
alignments of phoneme-to-frame sequences. As the complexity increases
and efficiency decreases with ev... | 2106.02830 | title_snapshot |
lin21g_interspeech | Triple M: A Practical Text-to-Speech Synthesis System with Multi-Guidance Attention and Multi-Band Multi-Time LPCNet | [
"Shilun Lin",
"Fenglong Xie",
"Li Meng",
"Xinhui Li",
"Li Lu"
] | https://www.isca-archive.org/interspeech_2021/lin21g_interspeech.html | https://www.isca-archive.org/interspeech_2021/lin21g_interspeech.pdf | 10.21437/Interspeech.2021-851 | 3640-3644 | @inproceedings{lin21g_interspeech,
title = {{Triple M: A Practical Text-to-Speech Synthesis System with Multi-Guidance Attention and Multi-Band Multi-Time LPCNet}},
author = {Shilun Lin and Fenglong Xie and Li Meng and Xinhui Li and Li Lu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | In this work, a robust and efficient text-to-speech (TTS) synthesis
system named Triple M is proposed for large-scale online application.
The key components of Triple M are: 1) A sequence-to-sequence model
adopts a novel multi-guidance attention to transfer complementary advantages
from guiding attention mechanisms to ... | 2102.00247 | title_snapshot |
casanova21b_interspeech | SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model | [
"Edresson Casanova",
"Christopher Shulby",
"Eren Gölge",
"Nicolas Michael Müller",
"Frederico Santos de Oliveira",
"Arnaldo Candido Jr.",
"Anderson da Silva Soares",
"Sandra Maria Aluisio",
"Moacir Antonelli Ponti"
] | https://www.isca-archive.org/interspeech_2021/casanova21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/casanova21b_interspeech.pdf | 10.21437/Interspeech.2021-1774 | 3645-3649 | @inproceedings{casanova21b_interspeech,
title = {{SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model}},
author = {Edresson Casanova and Christopher Shulby and Eren Gölge and Nicolas Michael Müller and Frederico Santos de Oliveira and Arnaldo {Candido Jr.} and Anderson da Silva Soares and S... | In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker
text-to-speech model that improves similarity for speakers unseen during
training. We propose a speaker-conditional architecture that explores
a flow-based decoder that works in a zero-shot scenario. As text encoders,
we explore a dilated residu... | 2104.05557 | title_snapshot |
palmer21_interspeech | Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset | [
"Ian Palmer",
"Andrew Rouditchenko",
"Andrei Barbu",
"Boris Katz",
"James Glass"
] | https://www.isca-archive.org/interspeech_2021/palmer21_interspeech.html | https://www.isca-archive.org/interspeech_2021/palmer21_interspeech.pdf | 10.21437/Interspeech.2021-245 | 3650-3654 | @inproceedings{palmer21_interspeech,
title = {{Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset}},
author = {Ian Palmer and Andrew Rouditchenko and Andrei Barbu and Boris Katz and James Glass},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3650--3654},
doi = {10.2... | Visually-grounded spoken language datasets can enable models to learn
cross-modal correspondences with very weak supervision. However, modern
audio-visual datasets contain biases that undermine the real-world
performance of models trained on that data. We introduce Spoken ObjectNet,
which is designed to remove some of ... | 2110.07575 | title_snapshot |
salesky21_interspeech | The Multilingual TEDx Corpus for Speech Recognition and Translation | [
"Elizabeth Salesky",
"Matthew Wiesner",
"Jacob Bremerman",
"Roldano Cattoni",
"Matteo Negri",
"Marco Turchi",
"Douglas W. Oard",
"Matt Post"
] | https://www.isca-archive.org/interspeech_2021/salesky21_interspeech.html | https://www.isca-archive.org/interspeech_2021/salesky21_interspeech.pdf | 10.21437/Interspeech.2021-11 | 3655-3659 | @inproceedings{salesky21_interspeech,
title = {{The Multilingual TEDx Corpus for Speech Recognition and Translation}},
author = {Elizabeth Salesky and Matthew Wiesner and Jacob Bremerman and Roldano Cattoni and Matteo Negri and Marco Turchi and Douglas W. Oard and Matt Post},
year = {2021},
booktitl... | We present the Multilingual TEDx corpus, built to support speech recognition
(ASR) and speech translation (ST) research across many non-English
source languages. The corpus is a collection of audio recordings from
TEDx talks in 8 source languages. We segment transcripts into sentences
and align them to the source-langu... | 2102.01757 | title_snapshot |
mortensen21_interspeech | Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments | [
"David R. Mortensen",
"Jordan Picone",
"Xinjian Li",
"Kathleen Siminyu"
] | https://www.isca-archive.org/interspeech_2021/mortensen21_interspeech.html | https://www.isca-archive.org/interspeech_2021/mortensen21_interspeech.pdf | 10.21437/Interspeech.2021-1435 | 3660-3664 | @inproceedings{mortensen21_interspeech,
title = {{Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments}},
author = {David R. Mortensen and Jordan Picone and Xinjian Li and Kathleen Siminyu},
year = {2021},
booktitle = {{Interspe... | There is growing interest in ASR systems that can recognize phones
in a language-independent fashion [1, 2, 3]. There is additionally
interest in building language technologies for low-resource and endangered
languages. However, there is a paucity of realistic data that can be
used to test such systems and technologies... | 2104.00824 | title_snapshot |
fu21b_interspeech | AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario | [
"Yihui Fu",
"Luyao Cheng",
"Shubo Lv",
"Yukai Jv",
"Yuxiang Kong",
"Zhuo Chen",
"Yanxin Hu",
"Lei Xie",
"Jian Wu",
"Hui Bu",
"Xin Xu",
"Jun Du",
"Jingdong Chen"
] | https://www.isca-archive.org/interspeech_2021/fu21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/fu21b_interspeech.pdf | 10.21437/Interspeech.2021-1397 | 3665-3669 | @inproceedings{fu21b_interspeech,
title = {{AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario}},
author = {Yihui Fu and Luyao Cheng and Shubo Lv and Yukai Jv and Yuxiang Kong and Zhuo Chen and Yanxin Hu and Lei Xie and Jian Wu and... | In this paper, we present AISHELL-4, a sizable real-recorded Mandarin
speech dataset collected by 8-channel circular microphone array for
speech processing in conference scenario. The dataset consists of 211
recorded meeting sessions, each containing 4 to 8 speakers, with a
total length of 120 hours. This dataset aims ... | 2104.03603 | title_snapshot |
chen21o_interspeech | GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio | [
"Guoguo Chen",
"Shuzhou Chai",
"Guan-Bo Wang",
"Jiayu Du",
"Wei-Qiang Zhang",
"Chao Weng",
"Dan Su",
"Daniel Povey",
"Jan Trmal",
"Junbo Zhang",
"Mingjie Jin",
"Sanjeev Khudanpur",
"Shinji Watanabe",
"Shuaijiang Zhao",
"Wei Zou",
"Xiangang Li",
"Xuchen Yao",
"Yongqing Wang",
"Zha... | https://www.isca-archive.org/interspeech_2021/chen21o_interspeech.html | https://www.isca-archive.org/interspeech_2021/chen21o_interspeech.pdf | 10.21437/Interspeech.2021-1965 | 3670-3674 | @inproceedings{chen21o_interspeech,
title = {{GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio}},
author = {Guoguo Chen and Shuzhou Chai and Guan-Bo Wang and Jiayu Du and Wei-Qiang Zhang and Chao Weng and Dan Su and Daniel Povey and Jan Trmal and Junbo Zhang and Mingjie... | This paper introduces GigaSpeech, an evolving, multi-domain English
speech recognition corpus with 10,000 hours of high quality labeled
audio suitable for supervised training, and 33,000 hours of total audio
suitable for semi-supervised and unsupervised training. Around 33,000
hours of transcribed audio is first collec... | 2106.06909 | title_snapshot |
kim21k_interspeech | Look Who’s Talking: Active Speaker Detection in the Wild | [
"You Jin Kim",
"Hee-Soo Heo",
"Soyeon Choe",
"Soo-Whan Chung",
"Yoohwan Kwon",
"Bong-Jin Lee",
"Youngki Kwon",
"Joon Son Chung"
] | https://www.isca-archive.org/interspeech_2021/kim21k_interspeech.html | https://www.isca-archive.org/interspeech_2021/kim21k_interspeech.pdf | 10.21437/Interspeech.2021-2041 | 3675-3679 | @inproceedings{kim21k_interspeech,
title = {{Look Who’s Talking: Active Speaker Detection in the Wild}},
author = {You Jin Kim and Hee-Soo Heo and Soyeon Choe and Soo-Whan Chung and Yoohwan Kwon and Bong-Jin Lee and Youngki Kwon and Joon Son Chung},
year = {2021},
booktitle = {{Interspeech 2021}},
... | In this work, we present a novel audio-visual dataset for active speaker
detection in the wild. A speaker is considered active when his or her
face is visible and the voice is audible simultaneously. Although active
speaker detection is a crucial pre-processing step for many audio-visual
tasks, there is no existing act... | 2108.07640 | title_snapshot |
ahmed21_interspeech | AusKidTalk: An Auditory-Visual Corpus of 3- to 12-Year-Old Australian Children’s Speech | [
"Beena Ahmed",
"Kirrie J. Ballard",
"Denis Burnham",
"Tharmakulasingam Sirojan",
"Hadi Mehmood",
"Dominique Estival",
"Elise Baker",
"Felicity Cox",
"Joanne Arciuli",
"Titia Benders",
"Katherine Demuth",
"Barbara Kelly",
"Chloé Diskin-Holdaway",
"Mostafa Shahin",
"Vidhyasaharan Sethu",
... | https://www.isca-archive.org/interspeech_2021/ahmed21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ahmed21_interspeech.pdf | 10.21437/Interspeech.2021-2000 | 3680-3684 | @inproceedings{ahmed21_interspeech,
title = {{AusKidTalk: An Auditory-Visual Corpus of 3- to 12-Year-Old Australian Children’s Speech}},
author = {Beena Ahmed and Kirrie J. Ballard and Denis Burnham and Tharmakulasingam Sirojan and Hadi Mehmood and Dominique Estival and Elise Baker and Felicity Cox and Joann... | Here we present AusKidTalk [1], an audio-visual (AV) corpus of Australian
children’s speech collected to facilitate the development of
speech based technological solutions for children. It builds upon the
technology and expertise developed through the collection of an earlier
corpus of Australian adult speech, AusTalk ... | null | null |
fallgren21_interspeech | Human-in-the-Loop Efficiency Analysis for Binary Classification in Edyson | [
"Per Fallgren",
"Jens Edlund"
] | https://www.isca-archive.org/interspeech_2021/fallgren21_interspeech.html | https://www.isca-archive.org/interspeech_2021/fallgren21_interspeech.pdf | 10.21437/Interspeech.2021-45 | 3685-3689 | @inproceedings{fallgren21_interspeech,
title = {{Human-in-the-Loop Efficiency Analysis for Binary Classification in Edyson}},
author = {Per Fallgren and Jens Edlund},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3685--3689},
doi = {10.21437/Interspeech.2021-45},
issn ... | Edyson is a human-in-the-loop (HITL) tool for browsing and annotating
large amounts of audio data quickly. It builds on temporally disassembled
audio and massively multi-component audio environments to overcome
the cumbersome time constraints that come with linear exploration of
large audio data. This study adds the fo... | null | null |
ryumina21_interspeech | Annotation Confidence vs. Training Sample Size: Trade-Off Solution for Partially-Continuous Categorical Emotion Recognition | [
"Elena Ryumina",
"Oxana Verkholyak",
"Alexey Karpov"
] | https://www.isca-archive.org/interspeech_2021/ryumina21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ryumina21_interspeech.pdf | 10.21437/Interspeech.2021-1636 | 3690-3694 | @inproceedings{ryumina21_interspeech,
title = {{Annotation Confidence vs. Training Sample Size: Trade-Off Solution for Partially-Continuous Categorical Emotion Recognition}},
author = {Elena Ryumina and Oxana Verkholyak and Alexey Karpov},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | Commonly adapted design of emotional corpora includes multiple annotations
for the same instance from several annotators. Most of the previous
studies assume the ground truth to be an average between all labels
or the most frequently used label. Current study shows that this approach
may not be optimal for training. By... | null | null |
garcesdiazmunio21_interspeech | Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization | [
"Gonçal V. Garcés Díaz-Munío",
"Joan-Albert Silvestre-Cerdà",
"Javier Jorge",
"Adrià Giménez Pastor",
"Javier Iranzo-Sánchez",
"Pau Baquero-Arnal",
"Nahuel Roselló",
"Alejandro Pérez-González-de-Martos",
"Jorge Civera",
"Albert Sanchis",
"Alfons Juan"
] | https://www.isca-archive.org/interspeech_2021/garcesdiazmunio21_interspeech.html | https://www.isca-archive.org/interspeech_2021/garcesdiazmunio21_interspeech.pdf | 10.21437/Interspeech.2021-1905 | 3695-3699 | @inproceedings{garcesdiazmunio21_interspeech,
title = {{Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization}},
author = {Gonçal V. {Garcés Díaz-Munío} and Joan-Albert Silvestre-Cerdà and Javier Jorge and Adrià Giménez Pastor and Javie... | We introduce Europarl-ASR, a large speech and text corpus of parliamentary
debates including 1 300 hours of transcribed speeches and 70 million
tokens of text in English extracted from European Parliament sessions.
The training set is labelled with the Parliament’s non-fully-verbatim
official transcripts, time-aligned.... | null | null |
kapoor21_interspeech | Towards Automatic Speech to Sign Language Generation | [
"Parul Kapoor",
"Rudrabha Mukhopadhyay",
"Sindhu B. Hegde",
"Vinay Namboodiri",
"C.V. Jawahar"
] | https://www.isca-archive.org/interspeech_2021/kapoor21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kapoor21_interspeech.pdf | 10.21437/Interspeech.2021-1094 | 3700-3704 | @inproceedings{kapoor21_interspeech,
title = {{Towards Automatic Speech to Sign Language Generation}},
author = {Parul Kapoor and Rudrabha Mukhopadhyay and Sindhu B. Hegde and Vinay Namboodiri and C.V. Jawahar},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3700--3704},
doi ... | We aim to solve the highly challenging task of generating continuous
sign language videos solely from speech segments for the first time.
Recent efforts in this space have focused on generating such videos
from human-annotated text transcripts without considering other modalities.
However, replacing speech with sign la... | 2106.12790 | title_snapshot |
cho21b_interspeech | kosp2e: Korean Speech to English Translation Corpus | [
"Won Ik Cho",
"Seok Min Kim",
"Hyunchang Cho",
"Nam Soo Kim"
] | https://www.isca-archive.org/interspeech_2021/cho21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/cho21b_interspeech.pdf | 10.21437/Interspeech.2021-1040 | 3705-3709 | @inproceedings{cho21b_interspeech,
title = {{kosp2e: Korean Speech to English Translation Corpus}},
author = {Won Ik Cho and Seok Min Kim and Hyunchang Cho and Nam Soo Kim},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3705--3709},
doi = {10.21437/Interspeech.2021-1040},
... | Most speech-to-text (S2T) translation studies use English speech as
a source, which makes it difficult for non-English speakers to take
advantage of the S2T technologies. For some languages, this problem
was tackled through corpus construction, but the farther linguistically
from English or the more under-resourced, th... | 2107.02875 | title_snapshot |
zhang21x_interspeech | speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment | [
"Junbo Zhang",
"Zhiwen Zhang",
"Yongqing Wang",
"Zhiyong Yan",
"Qiong Song",
"Yukai Huang",
"Ke Li",
"Daniel Povey",
"Yujun Wang"
] | https://www.isca-archive.org/interspeech_2021/zhang21x_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21x_interspeech.pdf | 10.21437/Interspeech.2021-1259 | 3710-3714 | @inproceedings{zhang21x_interspeech,
title = {{speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment}},
author = {Junbo Zhang and Zhiwen Zhang and Yongqing Wang and Zhiyong Yan and Qiong Song and Yukai Huang and Ke Li and Daniel Povey and Yujun Wang},
year = {202... | This paper introduces a new open-source speech corpus named “speechocean762”
designed for pronunciation assessment use, consisting of 5000 English
utterances from 250 non-native speakers, where half of the speakers
are children. Five experts annotated each of the utterances at sentence-level,
word-level and phoneme-lev... | 2104.01378 | title_snapshot |
fan21b_interspeech | An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition | [
"Ruchao Fan",
"Wei Chu",
"Peng Chang",
"Jing Xiao",
"Abeer Alwan"
] | https://www.isca-archive.org/interspeech_2021/fan21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/fan21b_interspeech.pdf | 10.21437/Interspeech.2021-1955 | 3715-3719 | @inproceedings{fan21b_interspeech,
title = {{An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition}},
author = {Ruchao Fan and Wei Chu and Peng Chang and Jing Xiao and Abeer Alwan},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3715--3719},
doi ... | Non-autoregressive mechanisms can significantly decrease inference
time for speech transformers, especially when the single step variant
is applied. Previous work on CTC alignment-based single step non-autoregressive
transformer (CASS-NAT) has shown a large real time factor (RTF) improvement
over autoregressive transfo... | 2106.09885 | title_snapshot |
guo21_interspeech | Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain | [
"Pengcheng Guo",
"Xuankai Chang",
"Shinji Watanabe",
"Lei Xie"
] | https://www.isca-archive.org/interspeech_2021/guo21_interspeech.html | https://www.isca-archive.org/interspeech_2021/guo21_interspeech.pdf | 10.21437/Interspeech.2021-2155 | 3720-3724 | @inproceedings{guo21_interspeech,
title = {{Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain}},
author = {Pengcheng Guo and Xuankai Chang and Shinji Watanabe and Lei Xie},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3720--3724},
doi ... | Non-autoregressive (NAR) models have achieved a large inference computation
reduction and comparable results with autoregressive (AR) models on
various sequence to sequence tasks. However, there has been limited
research aiming to explore the NAR approaches on sequence to multi-sequence
problems, like multi-speaker aut... | 2106.08595 | title_snapshot |
ng21b_interspeech | Pushing the Limits of Non-Autoregressive Speech Recognition | [
"Edwin G. Ng",
"Chung-Cheng Chiu",
"Yu Zhang",
"William Chan"
] | https://www.isca-archive.org/interspeech_2021/ng21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/ng21b_interspeech.pdf | 10.21437/Interspeech.2021-337 | 3725-3729 | @inproceedings{ng21b_interspeech,
title = {{Pushing the Limits of Non-Autoregressive Speech Recognition}},
author = {Edwin G. Ng and Chung-Cheng Chiu and Yu Zhang and William Chan},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3725--3729},
doi = {10.21437/Interspeech.2021-... | We combine recent advancements in end-to-end speech recognition to
non-autoregressive automatic speech recognition. We push the limits
of non-autoregressive state-of-the-art results for multiple datasets:
LibriSpeech, Fisher+Switchboard and Wall Street Journal. Key to our
recipe, we leverage CTC on giant Conformer neur... | 2104.03416 | title_snapshot |
liu21l_interspeech | Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies | [
"Alexander H. Liu",
"Yu-An Chung",
"James Glass"
] | https://www.isca-archive.org/interspeech_2021/liu21l_interspeech.html | https://www.isca-archive.org/interspeech_2021/liu21l_interspeech.pdf | 10.21437/Interspeech.2021-349 | 3730-3734 | @inproceedings{liu21l_interspeech,
title = {{Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies}},
author = {Alexander H. Liu and Yu-An Chung and James Glass},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3730--3734},
doi = {10... | Self-supervised speech representations have been shown to be effective
in a variety of speech applications. However, existing representation
learning methods generally rely on the autoregressive model and/or
observed global dependencies while generating the representation. In
this work, we propose Non-Autoregressive Pr... | 2011.00406 | title_snapshot |
nozaki21_interspeech | Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions | [
"Jumon Nozaki",
"Tatsuya Komatsu"
] | https://www.isca-archive.org/interspeech_2021/nozaki21_interspeech.html | https://www.isca-archive.org/interspeech_2021/nozaki21_interspeech.pdf | 10.21437/Interspeech.2021-911 | 3735-3739 | @inproceedings{nozaki21_interspeech,
title = {{Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions}},
author = {Jumon Nozaki and Tatsuya Komatsu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3735--3739},
doi = {10.... | This paper proposes a method to relax the conditional independence
assumption of connectionist temporal classification (CTC)-based automatic
speech recognition (ASR) models. We train a CTC-based ASR model with
auxiliary CTC losses in intermediate layers in addition to the original
CTC loss in the last layer. During bot... | 2104.02724 | title_snapshot |
fujita21b_interspeech | Toward Streaming ASR with Non-Autoregressive Insertion-Based Model | [
"Yuya Fujita",
"Tianzi Wang",
"Shinji Watanabe",
"Motoi Omachi"
] | https://www.isca-archive.org/interspeech_2021/fujita21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/fujita21b_interspeech.pdf | 10.21437/Interspeech.2021-1131 | 3740-3744 | @inproceedings{fujita21b_interspeech,
title = {{Toward Streaming ASR with Non-Autoregressive Insertion-Based Model}},
author = {Yuya Fujita and Tianzi Wang and Shinji Watanabe and Motoi Omachi},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3740--3744},
doi = {10.21437/Inte... | Neural end-to-end (E2E) models have become a promising technique to
realize practical automatic speech recognition (ASR) systems. When
realizing such a system, one important issue is the segmentation of
audio to deal with streaming input or long recording. After audio segmentation,
the ASR model with a small real-time ... | 2012.10128 | title_snapshot |
lee21e_interspeech | Layer Pruning on Demand with Intermediate CTC | [
"Jaesong Lee",
"Jingu Kang",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2021/lee21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/lee21e_interspeech.pdf | 10.21437/Interspeech.2021-1171 | 3745-3749 | @inproceedings{lee21e_interspeech,
title = {{Layer Pruning on Demand with Intermediate CTC}},
author = {Jaesong Lee and Jingu Kang and Shinji Watanabe},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3745--3749},
doi = {10.21437/Interspeech.2021-1171},
issn = {2958-17... | Deploying an end-to-end automatic speech recognition (ASR) model on
mobile/embedded devices is a challenging task, since the device computational
power and energy consumption requirements are dynamically changed in
practice. To overcome the issue, we present a training and pruning
method for ASR based on the connection... | 2106.09216 | title_snapshot |
li21l_interspeech | Real-Time End-to-End Monaural Multi-Speaker Speech Recognition | [
"Song Li",
"Beibei Ouyang",
"Fuchuan Tong",
"Dexin Liao",
"Lin Li",
"Qingyang Hong"
] | https://www.isca-archive.org/interspeech_2021/li21l_interspeech.html | https://www.isca-archive.org/interspeech_2021/li21l_interspeech.pdf | 10.21437/Interspeech.2021-1449 | 3750-3754 | @inproceedings{li21l_interspeech,
title = {{Real-Time End-to-End Monaural Multi-Speaker Speech Recognition}},
author = {Song Li and Beibei Ouyang and Fuchuan Tong and Dexin Liao and Lin Li and Qingyang Hong},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3750--3754},
doi = ... | The rising interest in single-channel multi-speaker speech separation
has triggered the development of end-to-end multi-speaker automatic
speech recognition (ASR). However, until now, most systems have adopted
autoregressive mechanisms for decoding, resulting in slow decoding
speed, which is not conducive to the applic... | null | null |
wang21ba_interspeech | Streaming End-to-End ASR Based on Blockwise Non-Autoregressive Models | [
"Tianzi Wang",
"Yuya Fujita",
"Xuankai Chang",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2021/wang21ba_interspeech.html | https://www.isca-archive.org/interspeech_2021/wang21ba_interspeech.pdf | 10.21437/Interspeech.2021-1556 | 3755-3759 | @inproceedings{wang21ba_interspeech,
title = {{Streaming End-to-End ASR Based on Blockwise Non-Autoregressive Models}},
author = {Tianzi Wang and Yuya Fujita and Xuankai Chang and Shinji Watanabe},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3755--3759},
doi = {10.21437/I... | Non-autoregressive (NAR) modeling has gained more and more attention
in speech processing. With recent state-of-the-art attention-based
automatic speech recognition (ASR) structure, NAR can realize promising
real-time factor (RTF) improvement with only small degradation of accuracy
compared to the autoregressive (AR) m... | 2107.09428 | title_snapshot |
beliaev21_interspeech | TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis | [
"Stanislav Beliaev",
"Boris Ginsburg"
] | https://www.isca-archive.org/interspeech_2021/beliaev21_interspeech.html | https://www.isca-archive.org/interspeech_2021/beliaev21_interspeech.pdf | 10.21437/Interspeech.2021-1770 | 3760-3764 | @inproceedings{beliaev21_interspeech,
title = {{TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis}},
author = {Stanislav Beliaev and Boris Ginsburg},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3760--3764},
doi = {10.21437/Interspee... | We propose TalkNet, a non-autoregressive convolutional neural model
for speech synthesis with explicit pitch and duration prediction. The
model consists of three feed-forward convolutional networks. The first
network predicts grapheme durations. An input text is then expanded
by repeating each symbol according to the p... | 2104.08189 | title_judge |
chen21p_interspeech | WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis | [
"Nanxin Chen",
"Yu Zhang",
"Heiga Zen",
"Ron J. Weiss",
"Mohammad Norouzi",
"Najim Dehak",
"William Chan"
] | https://www.isca-archive.org/interspeech_2021/chen21p_interspeech.html | https://www.isca-archive.org/interspeech_2021/chen21p_interspeech.pdf | 10.21437/Interspeech.2021-1897 | 3765-3769 | @inproceedings{chen21p_interspeech,
title = {{WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis}},
author = {Nanxin Chen and Yu Zhang and Heiga Zen and Ron J. Weiss and Mohammad Norouzi and Najim Dehak and William Chan},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {376... | This paper introduces WaveGrad 2 , a non-autoregressive generative
model for text-to-speech synthesis. WaveGrad 2 is trained to estimate
the gradient of the log conditional density of the waveform given a
phoneme sequence. The model takes an input phoneme sequence, and through
an iterative refinement process, generates... | 2106.09660 | title_snapshot |
chen21q_interspeech | Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition | [
"Nanxin Chen",
"Piotr Żelasko",
"Laureano Moro-Velázquez",
"Jesús Villalba",
"Najim Dehak"
] | https://www.isca-archive.org/interspeech_2021/chen21q_interspeech.html | https://www.isca-archive.org/interspeech_2021/chen21q_interspeech.pdf | 10.21437/Interspeech.2021-1906 | 3770-3774 | @inproceedings{chen21q_interspeech,
title = {{Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition}},
author = {Nanxin Chen and Piotr Żelasko and Laureano Moro-Velázquez and Jesús Villalba and Najim Dehak},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3770--3774},
do... | Deep autoregressive models start to become comparable or superior to
the conventional systems for automatic speech recognition. However,
for the inference computation, they still suffer from inference speed
issue due to their token-by-token decoding characteristic. Non-autoregressive
models greatly improve decoding spe... | null | null |
lu21d_interspeech | VAENAR-TTS: Variational Auto-Encoder Based Non-AutoRegressive Text-to-Speech Synthesis | [
"Hui Lu",
"Zhiyong Wu",
"Xixin Wu",
"Xu Li",
"Shiyin Kang",
"Xunying Liu",
"Helen Meng"
] | https://www.isca-archive.org/interspeech_2021/lu21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/lu21d_interspeech.pdf | 10.21437/Interspeech.2021-2121 | 3775-3779 | @inproceedings{lu21d_interspeech,
title = {{VAENAR-TTS: Variational Auto-Encoder Based Non-AutoRegressive Text-to-Speech Synthesis}},
author = {Hui Lu and Zhiyong Wu and Xixin Wu and Xu Li and Shiyin Kang and Xunying Liu and Helen Meng},
year = {2021},
booktitle = {{Interspeech 2021}},
pages =... | This paper describes a variational auto-encoder based non-autoregressive
text-to-speech (VAENAR-TTS) model. The autoregressive TTS (AR-TTS)
models based on the sequence-to-sequence architecture can generate
high-quality speech, but their sequential decoding process can be time-consuming.
Recently, non-autoregressive TT... | 2107.03298 | title_snapshot |
luz21_interspeech | Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge | [
"Saturnino Luz",
"Fasih Haider",
"Sofia de la Fuente",
"Davida Fromm",
"Brian MacWhinney"
] | https://www.isca-archive.org/interspeech_2021/luz21_interspeech.html | https://www.isca-archive.org/interspeech_2021/luz21_interspeech.pdf | 10.21437/Interspeech.2021-1220 | 3780-3784 | @inproceedings{luz21_interspeech,
title = {{Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge}},
author = {Saturnino Luz and Fasih Haider and Sofia de la Fuente and Davida Fromm and Brian MacWhinney},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3780--3784},
d... | Building on the success of the ADReSS Challenge at Interspeech 2020,
which attracted the participation of 34 teams from across the world,
the ADReSSo Challenge targets three difficult automatic prediction
problems of societal and medical relevance, namely: detection of Alzheimer’s
Dementia, inference of cognitive testi... | 2104.09356 | title_snapshot |
pereztoro21_interspeech | Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge | [
"P.A. Pérez-Toro",
"S.P. Bayerl",
"T. Arias-Vergara",
"J.C. Vásquez-Correa",
"P. Klumpp",
"M. Schuster",
"Elmar Nöth",
"J.R. Orozco-Arroyave",
"K. Riedhammer"
] | https://www.isca-archive.org/interspeech_2021/pereztoro21_interspeech.html | https://www.isca-archive.org/interspeech_2021/pereztoro21_interspeech.pdf | 10.21437/Interspeech.2021-1589 | 3785-3789 | @inproceedings{pereztoro21_interspeech,
title = {{Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge}},
author = {P.A. Pérez-Toro and S.P. Bayerl and T. Arias-Vergara and J.C. Vásquez-Correa and P. Klumpp and M. Schuster and Elmar Nöth and ... | Alzheimer’s Disease (AD) results from the progressive loss of
neurons in the hippocampus, which affects the capability to produce
coherent language. It affects lexical, grammatical, and semantic processes
as well as speech fluency. This paper considers the analyses of speech
and language for the assessment of AD in the... | null | null |
zhu21e_interspeech | WavBERT: Exploiting Semantic and Non-Semantic Speech Using Wav2vec and BERT for Dementia Detection | [
"Youxiang Zhu",
"Abdelrahman Obyat",
"Xiaohui Liang",
"John A. Batsis",
"Robert M. Roth"
] | https://www.isca-archive.org/interspeech_2021/zhu21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhu21e_interspeech.pdf | 10.21437/Interspeech.2021-332 | 3790-3794 | @inproceedings{zhu21e_interspeech,
title = {{WavBERT: Exploiting Semantic and Non-Semantic Speech Using Wav2vec and BERT for Dementia Detection}},
author = {Youxiang Zhu and Abdelrahman Obyat and Xiaohui Liang and John A. Batsis and Robert M. Roth},
year = {2021},
booktitle = {{Interspeech 2021}},
... | In this paper, we exploit semantic and non-semantic information from
patient’s speech data using Wav2vec and Bidirectional Encoder
Representations from Transformers (BERT) for dementia detection. We
first propose a basic WavBERT model by extracting semantic information
from speech data using Wav2vec, and analyzing the ... | null | null |
gauder21_interspeech | Alzheimer Disease Recognition Using Speech-Based Embeddings From Pre-Trained Models | [
"Lara Gauder",
"Leonardo Pepino",
"Luciana Ferrer",
"Pablo Riera"
] | https://www.isca-archive.org/interspeech_2021/gauder21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gauder21_interspeech.pdf | 10.21437/Interspeech.2021-753 | 3795-3799 | @inproceedings{gauder21_interspeech,
title = {{Alzheimer Disease Recognition Using Speech-Based Embeddings From Pre-Trained Models}},
author = {Lara Gauder and Leonardo Pepino and Luciana Ferrer and Pablo Riera},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3795--3799},
doi ... | This paper describes our submission to the ADreSSo Challenge, which
focuses on the problem of automatic recognition of Alzheimer’s
Disease (AD) from speech. The audio samples contain speech from the
subjects describing a picture with the guidance of an experimenter.
Our approach to the problem is based on the use of em... | null | null |
balagopalan21_interspeech | Comparing Acoustic-Based Approaches for Alzheimer’s Disease Detection | [
"Aparna Balagopalan",
"Jekaterina Novikova"
] | https://www.isca-archive.org/interspeech_2021/balagopalan21_interspeech.html | https://www.isca-archive.org/interspeech_2021/balagopalan21_interspeech.pdf | 10.21437/Interspeech.2021-759 | 3800-3804 | @inproceedings{balagopalan21_interspeech,
title = {{Comparing Acoustic-Based Approaches for Alzheimer’s Disease Detection}},
author = {Aparna Balagopalan and Jekaterina Novikova},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3800--3804},
doi = {10.21437/Interspeech.2021-75... | Robust strategies for Alzheimer’s disease (AD) detection is important,
given the high prevalence of AD. In this paper, we study the performance
and generalizability of three approaches for AD detection from speech
on the recent ADReSSo challenge dataset:1) using conventional acoustic
features 2) using novel pre-trained... | 2106.01555 | title_snapshot |
qiao21_interspeech | Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models | [
"Yu Qiao",
"Xuefeng Yin",
"Daniel Wiechmann",
"Elma Kerz"
] | https://www.isca-archive.org/interspeech_2021/qiao21_interspeech.html | https://www.isca-archive.org/interspeech_2021/qiao21_interspeech.pdf | 10.21437/Interspeech.2021-1415 | 3805-3809 | @inproceedings{qiao21_interspeech,
title = {{Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models}},
author = {Yu Qiao and Xuefeng Yin and Daniel Wiechmann and Elma Kerz},
year = {2021},
booktitle = {{... | In this paper, we combined linguistic complexity and (dis)fluency features
with pretrained language models for the task of Alzheimer’s disease
detection of the 2021 ADReSSo (Alzheimer’s Dementia Recognition
through Spontaneous Speech) challenge. An accuracy of 83.1% was achieved
on the test set, which amounts to an imp... | 2106.08689 | title_snapshot |
pan21c_interspeech | Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech | [
"Yilin Pan",
"Bahman Mirheidari",
"Jennifer M. Harris",
"Jennifer C. Thompson",
"Matthew Jones",
"Julie S. Snowden",
"Daniel Blackburn",
"Heidi Christensen"
] | https://www.isca-archive.org/interspeech_2021/pan21c_interspeech.html | https://www.isca-archive.org/interspeech_2021/pan21c_interspeech.pdf | 10.21437/Interspeech.2021-1519 | 3810-3814 | @inproceedings{pan21c_interspeech,
title = {{Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech}},
author = {Yilin Pan and Bahman Mirheidari and Jennifer M. Harris and Jennifer C. Thompson and Matthew Jo... | Exploring acoustic and linguistic information embedded in spontaneous
speech recordings has proven to be efficient for automatic Alzheimer’s
dementia detection. Acoustic features can be extracted directly from
the audio recordings, however, linguistic features, in fully automatic
systems, need to be extracted from tran... | null | null |
syed21_interspeech | Tackling the ADRESSO Challenge 2021: The MUET-RMIT System for Alzheimer’s Dementia Recognition from Spontaneous Speech | [
"Zafi Sherhan Syed",
"Muhammad Shehram Shah Syed",
"Margaret Lech",
"Elena Pirogova"
] | https://www.isca-archive.org/interspeech_2021/syed21_interspeech.html | https://www.isca-archive.org/interspeech_2021/syed21_interspeech.pdf | 10.21437/Interspeech.2021-1572 | 3815-3819 | @inproceedings{syed21_interspeech,
title = {{Tackling the ADRESSO Challenge 2021: The MUET-RMIT System for Alzheimer’s Dementia Recognition from Spontaneous Speech}},
author = {Zafi Sherhan Syed and Muhammad Shehram Shah Syed and Margaret Lech and Elena Pirogova},
year = {2021},
booktitle = {{Inters... | This paper addresses the Interspeech Alzheimer’s Dementia Recognition
through Spontaneous Speech only (ADReSSo) challenge 2021. The objective
of our study is to propose the approach to a three task automated screening
that will aid in distinguishing between healthy individuals and subjects
with dementia. The first task... | null | null |
rohanian21_interspeech | Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs | [
"Morteza Rohanian",
"Julian Hough",
"Matthew Purver"
] | https://www.isca-archive.org/interspeech_2021/rohanian21_interspeech.html | https://www.isca-archive.org/interspeech_2021/rohanian21_interspeech.pdf | 10.21437/Interspeech.2021-1633 | 3820-3824 | @inproceedings{rohanian21_interspeech,
title = {{Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs}},
author = {Morteza Rohanian and Julian Hough and Matthew Purver},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3... | We present two multimodal fusion-based deep learning models that consume
ASR transcribed speech and acoustic data simultaneously to classify
whether a speaker in a structured diagnostic task has Alzheimer’s
Disease and to what degree, evaluating the ADReSSo challenge 2021 data.
Our best model, a BiLSTM with highway lay... | 2106.15684 | title_snapshot |
pappagari21_interspeech | Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios | [
"Raghavendra Pappagari",
"Jaejin Cho",
"Sonal Joshi",
"Laureano Moro-Velázquez",
"Piotr Żelasko",
"Jesús Villalba",
"Najim Dehak"
] | https://www.isca-archive.org/interspeech_2021/pappagari21_interspeech.html | https://www.isca-archive.org/interspeech_2021/pappagari21_interspeech.pdf | 10.21437/Interspeech.2021-1850 | 3825-3829 | @inproceedings{pappagari21_interspeech,
title = {{Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios}},
author = {Raghavendra Pappagari and Jaejin Cho and Sonal Joshi and Laureano Moro-Velázquez and Piotr Żelasko and Jesús Villalba and Naj... | In this study, we analyze the use of speech and speaker recognition
technologies and natural language processing to detect Alzheimer disease
(AD) and estimate mini-mental status evaluation (MMSE) scores. We used
speech recordings from Interspeech 2021 ADReSSo challenge dataset.
Our work focuses on adapting state-of-the... | null | null |
chen21r_interspeech | Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only | [
"Jun Chen",
"Jieping Ye",
"Fengyi Tang",
"Jiayu Zhou"
] | https://www.isca-archive.org/interspeech_2021/chen21r_interspeech.html | https://www.isca-archive.org/interspeech_2021/chen21r_interspeech.pdf | 10.21437/Interspeech.2021-2002 | 3830-3834 | @inproceedings{chen21r_interspeech,
title = {{Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only}},
author = {Jun Chen and Jieping Ye and Fengyi Tang and Jiayu Zhou},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3830--3834},
doi = {10.21437/Interspeec... | Alzheimer’s disease (AD) is a neurodegenerative syndrome which
affects tens of millions of elders worldwide. Although there is no
treatment currently available, early recognition can improve the lives
of people with AD and their caretakers and families. To find a cost-effective
and easy-to-use method for dementia detec... | null | null |
wang21ca_interspeech | Modular Multi-Modal Attention Network for Alzheimer’s Disease Detection Using Patient Audio and Language Data | [
"Ning Wang",
"Yupeng Cao",
"Shuai Hao",
"Zongru Shao",
"K.P. Subbalakshmi"
] | https://www.isca-archive.org/interspeech_2021/wang21ca_interspeech.html | https://www.isca-archive.org/interspeech_2021/wang21ca_interspeech.pdf | 10.21437/Interspeech.2021-2024 | 3835-3839 | @inproceedings{wang21ca_interspeech,
title = {{Modular Multi-Modal Attention Network for Alzheimer’s Disease Detection Using Patient Audio and Language Data}},
author = {Ning Wang and Yupeng Cao and Shuai Hao and Zongru Shao and K.P. Subbalakshmi},
year = {2021},
booktitle = {{Interspeech 2021}},
... | In this work, we propose a modular multi-modal architecture to automatically
detect Alzheimer’s disease using the dataset provided in the
ADReSSo challenge. Both acoustic and text-based features are used in
this architecture. Since the dataset provides only audio samples of
controls and patients, we use Google cloud-ba... | null | null |
gong21d_interspeech | Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-Field Speech Recognition | [
"Rong Gong",
"Carl Quillen",
"Dushyant Sharma",
"Andrew Goderre",
"José Laínez",
"Ljubomir Milanović"
] | https://www.isca-archive.org/interspeech_2021/gong21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/gong21d_interspeech.pdf | 10.21437/Interspeech.2021-1190 | 3840-3844 | @inproceedings{gong21d_interspeech,
title = {{Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-Field Speech Recognition}},
author = {Rong Gong and Carl Quillen and Dushyant Sharma and Andrew Goderre and José Laínez and Ljubomir Milanović},
year = {2021},
booktitle = {{Inter... | When a sufficiently large far-field training data is presented, jointly
optimizing a multichannel frontend and an end-to-end (E2E) Automatic
Speech Recognition (ASR) backend shows promising results. Recent literature
has shown traditional beamformer designs, such as MVDR (Minimum Variance
Distortionless Response) or fi... | 2109.04783 | title_snapshot |
gretter21_interspeech | ETLT 2021: Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech | [
"R. Gretter",
"Marco Matassoni",
"D. Falavigna",
"A. Misra",
"C.W. Leong",
"K. Knill",
"L. Wang"
] | https://www.isca-archive.org/interspeech_2021/gretter21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gretter21_interspeech.pdf | 10.21437/Interspeech.2021-1237 | 3845-3849 | @inproceedings{gretter21_interspeech,
title = {{ETLT 2021: Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech}},
author = {R. Gretter and Marco Matassoni and D. Falavigna and A. Misra and C.W. Leong and K. Knill and L. Wang},
year = {2021},
booktitle = {{Interspeech 2021}},... | The paper presents the Second ASR Challenge for Non-native Children’s
Speech proposed as a Special Session at Interspeech 2021, following
the successful first challenge at Interspeech 2020. The goal of the
challenge is to advance research on non-native children’s speech
recognition technology, as speech technology stil... | null | null |
rumberg21_interspeech | Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning | [
"Lars Rumberg",
"Hanna Ehlert",
"Ulrike Lüdtke",
"Jörn Ostermann"
] | https://www.isca-archive.org/interspeech_2021/rumberg21_interspeech.html | https://www.isca-archive.org/interspeech_2021/rumberg21_interspeech.pdf | 10.21437/Interspeech.2021-1241 | 3850-3854 | @inproceedings{rumberg21_interspeech,
title = {{Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning}},
author = {Lars Rumberg and Hanna Ehlert and Ulrike Lüdtke and Jörn Ostermann},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3850-... | Automatic speech recognition for children’s speech is a challenging
task mainly due to scarcity of publicly available child speech corpora
and wide inter- and intra-speaker variability in terms of acoustic
and linguistic characteristics of children’s speech. We propose
a framework for age-invariant training of the acou... | null | null |
cornell21_interspeech | Learning to Rank Microphones for Distant Speech Recognition | [
"Samuele Cornell",
"Alessio Brutti",
"Marco Matassoni",
"Stefano Squartini"
] | https://www.isca-archive.org/interspeech_2021/cornell21_interspeech.html | https://www.isca-archive.org/interspeech_2021/cornell21_interspeech.pdf | 10.21437/Interspeech.2021-1315 | 3855-3859 | @inproceedings{cornell21_interspeech,
title = {{Learning to Rank Microphones for Distant Speech Recognition}},
author = {Samuele Cornell and Alessio Brutti and Marco Matassoni and Stefano Squartini},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3855--3859},
doi = {10.21437... | Fully exploiting ad-hoc microphone networks for distant speech recognition
is still an open issue. Empirical evidence shows that being able to
select the best microphone leads to significant improvements in recognition
without any additional effort on front-end processing. Current channel
selection techniques either re... | 2104.02819 | title_snapshot |
gelin21_interspeech | Simulating Reading Mistakes for Child Speech Transformer-Based Phone Recognition | [
"Lucile Gelin",
"Thomas Pellegrini",
"Julien Pinquier",
"Morgane Daniel"
] | https://www.isca-archive.org/interspeech_2021/gelin21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gelin21_interspeech.pdf | 10.21437/Interspeech.2021-2202 | 3860-3864 | @inproceedings{gelin21_interspeech,
title = {{Simulating Reading Mistakes for Child Speech Transformer-Based Phone Recognition}},
author = {Lucile Gelin and Thomas Pellegrini and Julien Pinquier and Morgane Daniel},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3860--3864},
doi ... | Current performance of automatic speech recognition (ASR) for children
is below that of the latest systems dedicated to adult speech. Child
speech is particularly difficult to recognise, and substantial corpora
are missing to train acoustic models. Furthermore, in the scope of
our reading assistant for 5–8-year-old chi... | null | null |
stephenson21_interspeech | Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input | [
"Brooke Stephenson",
"Thomas Hueber",
"Laurent Girin",
"Laurent Besacier"
] | https://www.isca-archive.org/interspeech_2021/stephenson21_interspeech.html | https://www.isca-archive.org/interspeech_2021/stephenson21_interspeech.pdf | 10.21437/Interspeech.2021-275 | 3865-3869 | @inproceedings{stephenson21_interspeech,
title = {{Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input}},
author = {Brooke Stephenson and Thomas Hueber and Laurent Girin and Laurent Besacier},
year = {2021},
booktitle = {{Interspeech 2021}},
pages =... | Inferring the prosody of a word in text-to-speech synthesis requires
information about its surrounding context. In incremental text-to-speech
synthesis, where the synthesizer produces an output before it has access
to the complete input, the full context is often unknown which can
result in a loss of naturalness. In th... | 2102.09914 | title_snapshot |
rijn21_interspeech | Exploring Emotional Prototypes in a High Dimensional TTS Latent Space | [
"Pol van Rijn",
"Silvan Mertes",
"Dominik Schiller",
"Peter M.C. Harrison",
"Pauline Larrouy-Maestri",
"Elisabeth André",
"Nori Jacoby"
] | https://www.isca-archive.org/interspeech_2021/rijn21_interspeech.html | https://www.isca-archive.org/interspeech_2021/rijn21_interspeech.pdf | 10.21437/Interspeech.2021-1538 | 3870-3874 | @inproceedings{rijn21_interspeech,
title = {{Exploring Emotional Prototypes in a High Dimensional TTS Latent Space}},
author = {Pol van Rijn and Silvan Mertes and Dominik Schiller and Peter M.C. Harrison and Pauline Larrouy-Maestri and Elisabeth André and Nori Jacoby},
year = {2021},
booktitle = {{I... | Recent TTS systems are able to generate prosodically varied and realistic
speech. However, it is unclear how this prosodic variation contributes
to the perception of speakers’ emotional states. Here we use
the recent psychological paradigm ‘Gibbs Sampling with People’
to search the prosodic latent space in a trained Gl... | 2105.01891 | title_snapshot |
mohan21_interspeech | Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis | [
"Devang S. Ram Mohan",
"Vivian Hu",
"Tian Huey Teh",
"Alexandra Torresquintero",
"Christopher G.R. Wallis",
"Marlene Staib",
"Lorenzo Foglianti",
"Jiameng Gao",
"Simon King"
] | https://www.isca-archive.org/interspeech_2021/mohan21_interspeech.html | https://www.isca-archive.org/interspeech_2021/mohan21_interspeech.pdf | 10.21437/Interspeech.2021-1583 | 3875-3879 | @inproceedings{mohan21_interspeech,
title = {{Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis}},
author = {Devang S. Ram Mohan and Vivian Hu and Tian Huey Teh and Alexandra Torresquintero and Christopher G.R. Wallis and Marlene Staib and Lorenzo Foglianti and Jiameng Gao and Simon King},
... | Text does not fully specify the spoken form, so text-to-speech models
must be able to learn from speech data that vary in ways not explained
by the corresponding text. One way to reduce the amount of unexplained
variation in training data is to provide acoustic information as an
additional learning signal. When generat... | 2106.08352 | title_snapshot |
torresquintero21_interspeech | ADEPT: A Dataset for Evaluating Prosody Transfer | [
"Alexandra Torresquintero",
"Tian Huey Teh",
"Christopher G.R. Wallis",
"Marlene Staib",
"Devang S. Ram Mohan",
"Vivian Hu",
"Lorenzo Foglianti",
"Jiameng Gao",
"Simon King"
] | https://www.isca-archive.org/interspeech_2021/torresquintero21_interspeech.html | https://www.isca-archive.org/interspeech_2021/torresquintero21_interspeech.pdf | 10.21437/Interspeech.2021-1610 | 3880-3884 | @inproceedings{torresquintero21_interspeech,
title = {{ADEPT: A Dataset for Evaluating Prosody Transfer}},
author = {Alexandra Torresquintero and Tian Huey Teh and Christopher G.R. Wallis and Marlene Staib and Devang S. Ram Mohan and Vivian Hu and Lorenzo Foglianti and Jiameng Gao and Simon King},
year ... | Text-to-speech is now able to achieve near-human naturalness and research
focus has shifted to increasing expressivity. One popular method is
to transfer the prosody from a reference speech sample. There have
been considerable advances in using prosody transfer to generate more
expressive speech, but the field lacks a ... | 2106.08321 | title_snapshot |
trang21_interspeech | Prosodic Boundary Prediction Model for Vietnamese Text-To-Speech | [
"Nguyen Thi Thu Trang",
"Nguyen Hoang Ky",
"Albert Rilliard",
"Christophe d'Alessandro"
] | https://www.isca-archive.org/interspeech_2021/trang21_interspeech.html | https://www.isca-archive.org/interspeech_2021/trang21_interspeech.pdf | 10.21437/Interspeech.2021-125 | 3885-3889 | @inproceedings{trang21_interspeech,
title = {{Prosodic Boundary Prediction Model for Vietnamese Text-To-Speech}},
author = {Nguyen Thi Thu Trang and Nguyen Hoang Ky and Albert Rilliard and Christophe d'Alessandro},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3885--3889},
doi ... | This research aims to build a prosodic boundary prediction model for
improving the naturalness of Vietnamese speech synthesis. This model
can be used directly to predict prosodic boundaries in the synthesis
phase of the statistical parametric or end-to-end speech systems. Beside
conventional features related to Part-Of... | null | null |
dovrat21_interspeech | Many-Speakers Single Channel Speech Separation with Optimal Permutation Training | [
"Shaked Dovrat",
"Eliya Nachmani",
"Lior Wolf"
] | https://www.isca-archive.org/interspeech_2021/dovrat21_interspeech.html | https://www.isca-archive.org/interspeech_2021/dovrat21_interspeech.pdf | 10.21437/Interspeech.2021-493 | 3890-3894 | @inproceedings{dovrat21_interspeech,
title = {{Many-Speakers Single Channel Speech Separation with Optimal Permutation Training}},
author = {Shaked Dovrat and Eliya Nachmani and Lior Wolf},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3890--3894},
doi = {10.21437/Interspee... | Single channel speech separation has experienced great progress in
the last few years. However, training neural speech separation for
a large number of speakers (e.g., more than 10 speakers) is out of
reach for the current methods, which rely on the Permutation Invariant
Training (PIT). In this work, we present a permu... | 2104.08955 | title_snapshot |
fras21_interspeech | Combating Reverberation in NTF-Based Speech Separation Using a Sub-Source Weighted Multichannel Wiener Filter and Linear Prediction | [
"Mieszko Fraś",
"Marcin Witkowski",
"Konrad Kowalczyk"
] | https://www.isca-archive.org/interspeech_2021/fras21_interspeech.html | https://www.isca-archive.org/interspeech_2021/fras21_interspeech.pdf | 10.21437/Interspeech.2021-1230 | 3895-3899 | @inproceedings{fras21_interspeech,
title = {{Combating Reverberation in NTF-Based Speech Separation Using a Sub-Source Weighted Multichannel Wiener Filter and Linear Prediction}},
author = {Mieszko Fraś and Marcin Witkowski and Konrad Kowalczyk},
year = {2021},
booktitle = {{Interspeech 2021}},
pa... | Sound source separation (SS) from the microphone signals capturing
speech in reverberant conditions is a formidable task. This paper addresses
the problem of joint separation and dereverberation of speech using
the multichannel Wiener filter (MWF) that is tailored to the sub-source
modeling of each speech source with a... | null | null |
strauss21_interspeech | A Hands-On Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation | [
"Martin Strauss",
"Jouni Paulus",
"Matteo Torcoli",
"Bernd Edler"
] | https://www.isca-archive.org/interspeech_2021/strauss21_interspeech.html | https://www.isca-archive.org/interspeech_2021/strauss21_interspeech.pdf | 10.21437/Interspeech.2021-1418 | 3900-3904 | @inproceedings{strauss21_interspeech,
title = {{A Hands-On Comparison of DNNs for Dialog Separation Using Transfer Learning from Music Source Separation}},
author = {Martin Strauss and Jouni Paulus and Matteo Torcoli and Bernd Edler},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3... | This paper describes a hands-on comparison on using state-of-the-art
music source separation deep neural networks (DNNs) before and after
task-specific fine-tuning for separating speech content from non-speech
content in broadcast audio (i.e., dialog separation). The music separation
models are selected as they share t... | 2106.09093 | title_snapshot |
borsdorf21b_interspeech | GlobalPhone Mix-To-Separate Out of 2: A Multilingual 2000 Speakers Mixtures Database for Speech Separation | [
"Marvin Borsdorf",
"Chenglin Xu",
"Haizhou Li",
"Tanja Schultz"
] | https://www.isca-archive.org/interspeech_2021/borsdorf21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/borsdorf21b_interspeech.pdf | 10.21437/Interspeech.2021-1552 | 3905-3909 | @inproceedings{borsdorf21b_interspeech,
title = {{GlobalPhone Mix-To-Separate Out of 2: A Multilingual 2000 Speakers Mixtures Database for Speech Separation}},
author = {Marvin Borsdorf and Chenglin Xu and Haizhou Li and Tanja Schultz},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = ... | Monaural speech separation has been well studied on various databases.
However, these databases mostly concern English speech. Research in
multi-speaker scenarios, such as speech recognition, speaker recognition,
speaker diarization, and speech separation calls for speaker mixtures
databases comprising multiple languag... | null | null |
tsukada21_interspeech | Cross-Linguistic Perception of the Japanese Singleton/Geminate Contrast: Korean, Mandarin and Mongolian Compared | [
"Kimiko Tsukada",
"Yurong",
"Joo-Yeon Kim",
"Jeong-Im Han",
"John Hajek"
] | https://www.isca-archive.org/interspeech_2021/tsukada21_interspeech.html | https://www.isca-archive.org/interspeech_2021/tsukada21_interspeech.pdf | 10.21437/Interspeech.2021-21 | 3910-3914 | @inproceedings{tsukada21_interspeech,
title = {{Cross-Linguistic Perception of the Japanese Singleton/Geminate Contrast: Korean, Mandarin and Mongolian Compared}},
author = {Kimiko Tsukada and Yurong and Joo-Yeon Kim and Jeong-Im Han and John Hajek},
year = {2021},
booktitle = {{Interspeech 2021}},... | The perception of Japanese consonant length contrasts (i.e. short/singleton
vs long/geminate) by native and non-native speakers was compared to
examine the extent to which difficult foreign language (FL) sounds
are processed accurately. Three groups of participants had Korean,
Mandarin or Mongolian as their first langu... | null | null |
korzekwa21_interspeech | Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention | [
"Daniel Korzekwa",
"Roberto Barra-Chicote",
"Szymon Zaporowski",
"Grzegorz Beringer",
"Jaime Lorenzo-Trueba",
"Alicja Serafinowicz",
"Jasha Droppo",
"Thomas Drugman",
"Bozena Kostek"
] | https://www.isca-archive.org/interspeech_2021/korzekwa21_interspeech.html | https://www.isca-archive.org/interspeech_2021/korzekwa21_interspeech.pdf | 10.21437/Interspeech.2021-86 | 3915-3919 | @inproceedings{korzekwa21_interspeech,
title = {{Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention}},
author = {Daniel Korzekwa and Roberto Barra-Chicote and Szymon Zaporowski and Grzegorz Beringer and Jaime Lorenzo-Trueba and Alicja Serafinowicz and Jasha Dro... | This paper describes two novel complementary techniques that improve
the detection of lexical stress errors in non-native (L2) English speech:
attention-based feature extraction and data augmentation based on Neural
Text-To-Speech (TTS). In a classical approach, audio features are usually
extracted from fixed regions o... | 2012.14788 | title_snapshot |
braun21_interspeech | Testing Acoustic Voice Quality Classification Across Languages and Speech Styles | [
"Bettina Braun",
"Nicole Dehé",
"Marieke Einfeldt",
"Daniela Wochner",
"Katharina Zahner-Ritter"
] | https://www.isca-archive.org/interspeech_2021/braun21_interspeech.html | https://www.isca-archive.org/interspeech_2021/braun21_interspeech.pdf | 10.21437/Interspeech.2021-315 | 3920-3924 | @inproceedings{braun21_interspeech,
title = {{Testing Acoustic Voice Quality Classification Across Languages and Speech Styles}},
author = {Bettina Braun and Nicole Dehé and Marieke Einfeldt and Daniela Wochner and Katharina Zahner-Ritter},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | Many studies relate acoustic voice quality measures to perceptual classification.
We extend this line of research by training a classifier on a balanced
set of perceptually annotated voice quality categories with high inter-rater
agreement, and test it on speech samples from a different language
and on a different spee... | null | null |
zhang21y_interspeech | Acquisition of Prosodic Focus Marking by Three- to Six-Year-Old Children Learning Mandarin Chinese | [
"Qianyutong Zhang",
"Kexin Lyu",
"Zening Chen",
"Ping Tang"
] | https://www.isca-archive.org/interspeech_2021/zhang21y_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21y_interspeech.pdf | 10.21437/Interspeech.2021-316 | 3925-3928 | @inproceedings{zhang21y_interspeech,
title = {{Acquisition of Prosodic Focus Marking by Three- to Six-Year-Old Children Learning Mandarin Chinese}},
author = {Qianyutong Zhang and Kexin Lyu and Zening Chen and Ping Tang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3925--3928},
... | Prosodic focus plays an important role during speech communication,
delivering speakers’ pragmatical intention to emphasize key information,
especially in contrastive scenarios. Previous studies exploring children’s
acquisition of prosodic focus have generally focused on Germanic and
Romance languages, while it was unc... | null | null |
mirzaei21_interspeech | Adaptive Listening Difficulty Detection for L2 Learners Through Moderating ASR Resources | [
"Maryam Sadat Mirzaei",
"Kourosh Meshgi"
] | https://www.isca-archive.org/interspeech_2021/mirzaei21_interspeech.html | https://www.isca-archive.org/interspeech_2021/mirzaei21_interspeech.pdf | 10.21437/Interspeech.2021-372 | 3929-3933 | @inproceedings{mirzaei21_interspeech,
title = {{Adaptive Listening Difficulty Detection for L2 Learners Through Moderating ASR Resources}},
author = {Maryam Sadat Mirzaei and Kourosh Meshgi},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3929--3933},
doi = {10.21437/Intersp... | Teaching listening skills to those learning a second language (L2)
is one of the most challenging tasks mainly because predicting L2 listening
difficulties is not always straightforward. Complex processes are involved
in decoding connected speech, constructing meaning, and comprehending
the audio material. Many studies... | null | null |
ding21b_interspeech | F Patterns of L2 English Speech by Mandarin Chinese Learners | [
"Hongwei Ding",
"Binghuai Lin",
"Liyuan Wang"
] | https://www.isca-archive.org/interspeech_2021/ding21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/ding21b_interspeech.pdf | 10.21437/Interspeech.2021-581 | 3934-3938 | @inproceedings{ding21b_interspeech,
title = {{F0 Patterns of L2 English Speech by Mandarin Chinese Learners}},
author = {Hongwei Ding and Binghuai Lin and Liyuan Wang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3934--3938},
doi = {10.21437/Interspeech.2021-581},
issn ... | Prosodic speech characteristics are important in the evaluation of
both intelligibility and naturalness of oral proficiency for learners
of English as a Second Language (ESL). Different f 0 movement
patterns between native and Mandarin Chinese learners have been an
important research topic for second-language (L2) Engl... | null | null |
lin21h_interspeech | A Neural Network-Based Noise Compensation Method for Pronunciation Assessment | [
"Binghuai Lin",
"Liyuan Wang"
] | https://www.isca-archive.org/interspeech_2021/lin21h_interspeech.html | https://www.isca-archive.org/interspeech_2021/lin21h_interspeech.pdf | 10.21437/Interspeech.2021-843 | 3939-3943 | @inproceedings{lin21h_interspeech,
title = {{A Neural Network-Based Noise Compensation Method for Pronunciation Assessment}},
author = {Binghuai Lin and Liyuan Wang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3939--3943},
doi = {10.21437/Interspeech.2021-843},
issn ... | Automatic pronunciation assessment plays an important role in computer-assisted
pronunciation training (CAPT). Goodness of pronunciation (GOP) based
on automatic speech recognition (ASR) has been commonly used in pronunciation
assessment. It has been found that GOP normally shows deteriorating
performance under noisy c... | null | null |
kudera21_interspeech | Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic | [
"Jacek Kudera",
"Philip Georgis",
"Bernd Möbius",
"Tania Avgustinova",
"Dietrich Klakow"
] | https://www.isca-archive.org/interspeech_2021/kudera21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kudera21_interspeech.pdf | 10.21437/Interspeech.2021-1003 | 3944-3948 | @inproceedings{kudera21_interspeech,
title = {{Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic}},
author = {Jacek Kudera and Philip Georgis and Bernd Möbius and Tania Avgustinova and Dietrich Klakow},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3944-... | This study reveals the relation between surprisal, phonetic distance,
and latency based on a multilingual, short-term priming framework.
Four Slavic languages (Bulgarian, Czech, Polish, and Russian) are investigated
across two priming conditions: associative and phonetic priming, involving
true cognates and near-homoph... | null | null |
zhang21z_interspeech | A Preliminary Study on Discourse Prosody Encoding in L1 and L2 English Spontaneous Narratives | [
"Yuqing Zhang",
"Zhu Li",
"Binghuai Lin",
"Jinsong Zhang"
] | https://www.isca-archive.org/interspeech_2021/zhang21z_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21z_interspeech.pdf | 10.21437/Interspeech.2021-1082 | 3949-3953 | @inproceedings{zhang21z_interspeech,
title = {{A Preliminary Study on Discourse Prosody Encoding in L1 and L2 English Spontaneous Narratives}},
author = {Yuqing Zhang and Zhu Li and Binghuai Lin and Jinsong Zhang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3949--3953},
doi ... | Relatively little attention has been devoted to the discourse-level
prosodic encoding and speech planning in second language (L2) speech.
This study reports a preliminary study on learners’ discourse
prosody encoding pattern and makes a comparison with that of native
speakers. Using a corpus of spontaneously produced p... | null | null |
wu21h_interspeech | Transformer Based End-to-End Mispronunciation Detection and Diagnosis | [
"Minglin Wu",
"Kun Li",
"Wai-Kim Leung",
"Helen Meng"
] | https://www.isca-archive.org/interspeech_2021/wu21h_interspeech.html | https://www.isca-archive.org/interspeech_2021/wu21h_interspeech.pdf | 10.21437/Interspeech.2021-1467 | 3954-3958 | @inproceedings{wu21h_interspeech,
title = {{Transformer Based End-to-End Mispronunciation Detection and Diagnosis}},
author = {Minglin Wu and Kun Li and Wai-Kim Leung and Helen Meng},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3954--3958},
doi = {10.21437/Interspeech.202... | This paper introduces two Transformer-based architectures for Mispronunciation
Detection and Diagnosis (MDD). The first Transformer architecture (T-1)
is a standard setup with an encoder, a decoder, a projection part and
the Cross Entropy (CE) loss. T-1 takes in Mel-Frequency Cepstral Coefficients
(MFCC) as input. The ... | null | null |
graham21_interspeech | L1 Identification from L2 Speech Using Neural Spectrogram Analysis | [
"Calbert Graham"
] | https://www.isca-archive.org/interspeech_2021/graham21_interspeech.html | https://www.isca-archive.org/interspeech_2021/graham21_interspeech.pdf | 10.21437/Interspeech.2021-1545 | 3959-3963 | @inproceedings{graham21_interspeech,
title = {{L1 Identification from L2 Speech Using Neural Spectrogram Analysis}},
author = {Calbert Graham},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3959--3963},
doi = {10.21437/Interspeech.2021-1545},
issn = {2958-1796},
} | It is well-known that the characteristics of L2 speech are highly influenced
by the speakers’ L1. The main objective of this study was to
uncover discriminative speech features to identify the L1 background
of a speaker from their L2 English speech. Traditional phonetic approaches
tend to compare speakers based on a pr... | null | null |
oh21b_interspeech | Leveraging Real-Time MRI for Illuminating Linguistic Velum Action | [
"Miran Oh",
"Dani Byrd",
"Shrikanth S. Narayanan"
] | https://www.isca-archive.org/interspeech_2021/oh21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/oh21b_interspeech.pdf | 10.21437/Interspeech.2021-1823 | 3964-3968 | @inproceedings{oh21b_interspeech,
title = {{Leveraging Real-Time MRI for Illuminating Linguistic Velum Action}},
author = {Miran Oh and Dani Byrd and Shrikanth S. Narayanan},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3964--3968},
doi = {10.21437/Interspeech.2021-1823},
... | Velum actions are critical to differentiating oral and nasal sounds
in spoken language; specifically in the latter, the velum is lowered
to open the nasal port and allow nasal airflow. However, details on
how the velum is lowered for nasal production in speech are scarce.
State-of-the-art real-time Magnetic Resonance I... | null | null |
liu21m_interspeech | Segmental Alignment of English Syllables with Singleton and Cluster Onsets | [
"Zirui Liu",
"Yi Xu"
] | https://www.isca-archive.org/interspeech_2021/liu21m_interspeech.html | https://www.isca-archive.org/interspeech_2021/liu21m_interspeech.pdf | 10.21437/Interspeech.2021-187 | 3969-3973 | @inproceedings{liu21m_interspeech,
title = {{Segmental Alignment of English Syllables with Singleton and Cluster Onsets}},
author = {Zirui Liu and Yi Xu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3969--3973},
doi = {10.21437/Interspeech.2021-187},
issn = {2958-1... | Recent research has shown fresh evidence that consonant and vowel are
synchronised at the syllable onset, as predicted by a number of theoretical
models. The finding was made by using a minimal contrast paradigm to
determine segment onset in Mandarin CV syllables, which differed from
the conventional method of detectin... | null | null |
hejna21_interspeech | Exploration of Welsh English Pre-Aspiration: How Wide-Spread is it? | [
"Míša Hejná"
] | https://www.isca-archive.org/interspeech_2021/hejna21_interspeech.html | https://www.isca-archive.org/interspeech_2021/hejna21_interspeech.pdf | 10.21437/Interspeech.2021-685 | 3974-3978 | @inproceedings{hejna21_interspeech,
title = {{Exploration of Welsh English Pre-Aspiration: How Wide-Spread is it?}},
author = {Míša Hejná},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3974--3978},
doi = {10.21437/Interspeech.2021-685},
issn = {2958-1796},
} | This study investigates how widespread pre-aspiration and local breathiness
are in English spoken in Wales, by speakers identifying as Welsh. While
the main purpose is to establish whether the phenomenon is generally
present in Welsh English, the data also enables us to explore whether
pre-aspiration might be condition... | null | null |
muhlack21_interspeech | Revisiting Recall Effects of Filler Particles in German and English | [
"Beeke Muhlack",
"Mikey Elmers",
"Heiner Drenhaus",
"Jürgen Trouvain",
"Marjolein van Os",
"Raphael Werner",
"Margarita Ryzhova",
"Bernd Möbius"
] | https://www.isca-archive.org/interspeech_2021/muhlack21_interspeech.html | https://www.isca-archive.org/interspeech_2021/muhlack21_interspeech.pdf | 10.21437/Interspeech.2021-1056 | 3979-3983 | @inproceedings{muhlack21_interspeech,
title = {{Revisiting Recall Effects of Filler Particles in German and English}},
author = {Beeke Muhlack and Mikey Elmers and Heiner Drenhaus and Jürgen Trouvain and Marjolein van Os and Raphael Werner and Margarita Ryzhova and Bernd Möbius},
year = {2021},
book... | This paper reports on two experiments that partially replicate an experiment
by Fraundorf and Watson (2011, J Mem. Lang.) on the recall effect of
filler particles. Their subjects listened to three passages of a story,
either with or without filler particles, which they had to retell afterwards.
They analysed the subjec... | null | null |
ge21b_interspeech | How Reliable Are Phonetic Data Collected Remotely? Comparison of Recording Devices and Environments on Acoustic Measurements | [
"Chunyu Ge",
"Yixuan Xiong",
"Peggy Mok"
] | https://www.isca-archive.org/interspeech_2021/ge21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/ge21b_interspeech.pdf | 10.21437/Interspeech.2021-1122 | 3984-3988 | @inproceedings{ge21b_interspeech,
title = {{How Reliable Are Phonetic Data Collected Remotely? Comparison of Recording Devices and Environments on Acoustic Measurements}},
author = {Chunyu Ge and Yixuan Xiong and Peggy Mok},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3984--3988}... | The COVID-19 pandemic posed an unprecedented challenge to phonetic
research. On-site collection of speech data is difficult, if not impossible.
The advancement of technology in mobile devices and online conference
platforms offers the opportunity to collect data remotely. This paper
aims to answer the question of how r... | null | null |
huang21i_interspeech | A Cross-Dialectal Comparison of Apical Vowels in Beijing Mandarin, Northeastern Mandarin and Southwestern Mandarin: An EMA and Ultrasound Study | [
"Jing Huang",
"Feng-fan Hsieh",
"Yueh-chin Chang"
] | https://www.isca-archive.org/interspeech_2021/huang21i_interspeech.html | https://www.isca-archive.org/interspeech_2021/huang21i_interspeech.pdf | 10.21437/Interspeech.2021-1326 | 3989-3993 | @inproceedings{huang21i_interspeech,
title = {{A Cross-Dialectal Comparison of Apical Vowels in Beijing Mandarin, Northeastern Mandarin and Southwestern Mandarin: An EMA and Ultrasound Study}},
author = {Jing Huang and Feng-fan Hsieh and Yueh-chin Chang},
year = {2021},
booktitle = {{Interspeech 202... | This paper is a comparative study of the articulation of the “apical
vowels” in three Mandarin dialects: Beijing Mandarin (BJM), Northeastern
Mandarin (NEM), and Southwestern Mandarin (SWM), using co-registered
EMA and ultrasound. Data from 5 BJM speakers, 5 NEM speakers and 4
SWM speakers in their twenties were analyz... | null | null |
gibson21_interspeech | Dissecting the Aero-Acoustic Parameters of Open Articulatory Transitions | [
"Mark Gibson",
"Oihane Muxika",
"Marianne Pouplier"
] | https://www.isca-archive.org/interspeech_2021/gibson21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gibson21_interspeech.pdf | 10.21437/Interspeech.2021-1379 | 3994-3998 | @inproceedings{gibson21_interspeech,
title = {{Dissecting the Aero-Acoustic Parameters of Open Articulatory Transitions}},
author = {Mark Gibson and Oihane Muxika and Marianne Pouplier},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3994--3998},
doi = {10.21437/Interspeech.... | We capitalize on previously recorded kinematic and acoustic data for
three languages (Georgian (GE), Spanish (SP) and Moroccan Arabic (MA))
that exhibit open articulatory transitions between the consonants in
clusters in order to dissect the aero-acoustic parameters of the transitions
in each language. These particular... | null | null |
gully21_interspeech | Quantifying Vocal Tract Shape Variation and its Acoustic Impact: A Geometric Morphometric Approach | [
"Amelia J. Gully"
] | https://www.isca-archive.org/interspeech_2021/gully21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gully21_interspeech.pdf | 10.21437/Interspeech.2021-1400 | 3999-4003 | @inproceedings{gully21_interspeech,
title = {{Quantifying Vocal Tract Shape Variation and its Acoustic Impact: A Geometric Morphometric Approach}},
author = {Amelia J. Gully},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {3999--4003},
doi = {10.21437/Interspeech.2021-1400},... | The shape of the vocal tract varies considerably between individuals.
The relationship between detailed variation in vocal tract shape and
the acoustics of speech is not yet well understood, despite its potential
for increasing understanding in the fields of voice biometrics, forensic
speech science, and personalised s... | null | null |
guevararukoz21_interspeech | Speech Perception and Loanword Adaptations: The Case of Copy-Vowel Epenthesis | [
"Adriana Guevara-Rukoz",
"Shi Yu",
"Sharon Peperkamp"
] | https://www.isca-archive.org/interspeech_2021/guevararukoz21_interspeech.html | https://www.isca-archive.org/interspeech_2021/guevararukoz21_interspeech.pdf | 10.21437/Interspeech.2021-1481 | 4004-4008 | @inproceedings{guevararukoz21_interspeech,
title = {{Speech Perception and Loanword Adaptations: The Case of Copy-Vowel Epenthesis}},
author = {Adriana Guevara-Rukoz and Shi Yu and Sharon Peperkamp},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {4004--4008},
doi = {10.21437... | Japanese allows for almost no consonants in syllable codas. In loanwords,
illegal codas are transformed into onsets by means of vowel epenthesis.
The default epenthetic vowel in loanwords is [ɯ], and previous
work has shown that this [ɯ]-epenthesis reflects Japanese listeners’
perception of illegal coda consonants. Her... | null | null |
guo21b_interspeech | Speakers Coarticulate Less When Facing Real and Imagined Communicative Difficulties: An Analysis of Read and Spontaneous Speech from the LUCID Corpus | [
"Zhe-chen Guo",
"Rajka Smiljanic"
] | https://www.isca-archive.org/interspeech_2021/guo21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/guo21b_interspeech.pdf | 10.21437/Interspeech.2021-1640 | 4009-4013 | @inproceedings{guo21b_interspeech,
title = {{Speakers Coarticulate Less When Facing Real and Imagined Communicative Difficulties: An Analysis of Read and Spontaneous Speech from the LUCID Corpus}},
author = {Zhe-chen Guo and Rajka Smiljanic},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | This study investigated coarticulation of read and spontaneous speech
in different communicative contexts from the LUCID corpus. Spontaneous
speech samples were from Southern British English speakers who completed
an interactive spot-the-differences task with no communicative barrier
(NB), with their voice vocoded (VOC... | null | null |
meister21_interspeech | Developmental Changes of Vowel Acoustics in Adolescents | [
"Einar Meister",
"Lya Meister"
] | https://www.isca-archive.org/interspeech_2021/meister21_interspeech.html | https://www.isca-archive.org/interspeech_2021/meister21_interspeech.pdf | 10.21437/Interspeech.2021-1649 | 4014-4018 | @inproceedings{meister21_interspeech,
title = {{Developmental Changes of Vowel Acoustics in Adolescents}},
author = {Einar Meister and Lya Meister},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {4014--4018},
doi = {10.21437/Interspeech.2021-1649},
issn = {2958-1796},... | The paper explores the developmental changes of vowel acoustics in
Estonian adolescents as a function of age and gender. Formant frequencies
F1–F4 and the duration of vowels were measured from read speech
samples of 305 native Estonian subjects (173 girls and 132 boys) aged
from 10 to 18 years. GAM framework was applie... | null | null |
dapolito21_interspeech | Context and Co-Text Influence on the Accuracy Production of Italian L2 Non-Native Sounds | [
"Sonia d'Apolito",
"Barbara Gili Fivela"
] | https://www.isca-archive.org/interspeech_2021/dapolito21_interspeech.html | https://www.isca-archive.org/interspeech_2021/dapolito21_interspeech.pdf | 10.21437/Interspeech.2021-1724 | 4019-4023 | @inproceedings{dapolito21_interspeech,
title = {{Context and Co-Text Influence on the Accuracy Production of Italian L2 Non-Native Sounds}},
author = {Sonia d'Apolito and Barbara Gili Fivela},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {4019--4023},
doi = {10.21437/Inters... | Accuracy in production of non-native sounds is analyzed by considering
the influence of L1, context and co-text on Italian L2 speech. While
the L1 influence is often described in the literature, careful investigations
on how production accuracy may change in different contexts and co-texts
are needed. This paper descri... | null | null |
heeringa21_interspeech | A New Vowel Normalization for Sociophonetics | [
"Wilbert Heeringa",
"Hans Van de Velde"
] | https://www.isca-archive.org/interspeech_2021/heeringa21_interspeech.html | https://www.isca-archive.org/interspeech_2021/heeringa21_interspeech.pdf | 10.21437/Interspeech.2021-1846 | 4024-4028 | @inproceedings{heeringa21_interspeech,
title = {{A New Vowel Normalization for Sociophonetics}},
author = {Wilbert Heeringa and Hans Van de Velde},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {4024--4028},
doi = {10.21437/Interspeech.2021-1846},
issn = {2958-1796},
... | Several studies have shown that in sociophonetic research Lobanov’s
speaker normalization method outperforms other methods for normalizing
vowel formants of speakers. An advantage of Lobanov’s method
compared to the method that was introduced by Watt & Fabricius
in 2002 is that it is independent of the shape of the vow... | null | null |
billington21_interspeech | The Pacific Expansion: Optimizing Phonetic Transcription of Archival Corpora | [
"Rosey Billington",
"Hywel Stoakes",
"Nick Thieberger"
] | https://www.isca-archive.org/interspeech_2021/billington21_interspeech.html | https://www.isca-archive.org/interspeech_2021/billington21_interspeech.pdf | 10.21437/Interspeech.2021-2167 | 4029-4033 | @inproceedings{billington21_interspeech,
title = {{The Pacific Expansion: Optimizing Phonetic Transcription of Archival Corpora}},
author = {Rosey Billington and Hywel Stoakes and Nick Thieberger},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {4029--4033},
doi = {10.21437/I... | For most of the world’s languages, detailed phonetic analyses
across different aspects of the sound system do not exist, due in part
to limitations in available speech data and tools for efficiently processing
such data for low-resource languages. Archival language documentation
collections offer opportunities to exten... | null | null |
tian21_interspeech | FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization | [
"Zhengkun Tian",
"Jiangyan Yi",
"Ye Bai",
"Jianhua Tao",
"Shuai Zhang",
"Zhengqi Wen"
] | https://www.isca-archive.org/interspeech_2021/tian21_interspeech.html | https://www.isca-archive.org/interspeech_2021/tian21_interspeech.pdf | 10.21437/Interspeech.2021-1367 | 4034-4038 | @inproceedings{tian21_interspeech,
title = {{FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization}},
author = {Zhengkun Tian and Jiangyan Yi and Ye Bai and Jianhua Tao and Shuai Zhang and Zhengqi Wen},
year = {2021},
booktitle = {{Interspeech 2021}}... | Transducer-based models, such as RNN-Transducer and transformer-transducer,
have achieved great success in speech recognition. A typical transducer
model decodes the output sequence conditioned on the current acoustic
state and previously predicted tokens step by step. Statistically,
The number of blank tokens in the p... | 2104.02882 | title_snapshot |
mitrofanov21_interspeech | LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring | [
"Anton Mitrofanov",
"Mariya Korenevskaya",
"Ivan Podluzhny",
"Yuri Khokhlov",
"Aleksandr Laptev",
"Andrei Andrusenko",
"Aleksei Ilin",
"Maxim Korenevsky",
"Ivan Medennikov",
"Aleksei Romanenko"
] | https://www.isca-archive.org/interspeech_2021/mitrofanov21_interspeech.html | https://www.isca-archive.org/interspeech_2021/mitrofanov21_interspeech.pdf | 10.21437/Interspeech.2021-1716 | 4039-4043 | @inproceedings{mitrofanov21_interspeech,
title = {{LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring}},
author = {Anton Mitrofanov and Mariya Korenevskaya and Ivan Podluzhny and Yuri Khokhlov and Aleksandr Laptev and Andrei Andrusenko and Aleksei Ilin and Maxim Korenevsky and... | Neural network-based language models are commonly used in rescoring
approaches to improve the quality of modern automatic speech recognition
(ASR) systems. Most of the existing methods are computationally expensive
since they use autoregressive language models. We propose a novel rescoring
approach, which processes the... | 2104.02526 | title_snapshot |
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