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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|---|---|---|---|---|---|---|---|---|---|---|
ramesh21_interspeech | Self-Supervised Phonotactic Representations for Language Identification | [
"G. Ramesh",
"C. Shiva Kumar",
"K. Sri Rama Murty"
] | https://www.isca-archive.org/interspeech_2021/ramesh21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ramesh21_interspeech.pdf | 10.21437/Interspeech.2021-1310 | 1514-1518 | @inproceedings{ramesh21_interspeech,
title = {{Self-Supervised Phonotactic Representations for Language Identification}},
author = {G. Ramesh and C. Shiva Kumar and K. Sri Rama Murty},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1514--1518},
doi = {10.21437/Interspeech.20... | Phonotactic constraints characterize the sequence of permissible phoneme
structures in a language and hence form an important cue for language
identification (LID) task. As phonotactic constraints span across multiple
phonemes, the short-term spectral analysis (20–30 ms) alone is
not sufficient to capture them. The spe... | null | null |
zhang21j_interspeech | E2E-Based Multi-Task Learning Approach to Joint Speech and Accent Recognition | [
"Jicheng Zhang",
"Yizhou Peng",
"Van Tung Pham",
"Haihua Xu",
"Hao Huang",
"Eng Siong Chng"
] | https://www.isca-archive.org/interspeech_2021/zhang21j_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21j_interspeech.pdf | 10.21437/Interspeech.2021-1495 | 1519-1523 | @inproceedings{zhang21j_interspeech,
title = {{E2E-Based Multi-Task Learning Approach to Joint Speech and Accent Recognition}},
author = {Jicheng Zhang and Yizhou Peng and Van Tung Pham and Haihua Xu and Hao Huang and Eng Siong Chng},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1... | In this paper, we propose a single multi-task learning framework to
perform End-to-End (E2E) speech recognition (ASR) and accent recognition
(AR) simultaneously. The proposed framework is not only more compact
but can also yield comparable or even better results than standalone
systems. Specifically, we found that the ... | 2106.08211 | title_snapshot |
tzudir21_interspeech | Excitation Source Feature Based Dialect Identification in Ao — A Low Resource Language | [
"Moakala Tzudir",
"Shikha Baghel",
"Priyankoo Sarmah",
"S.R. Mahadeva Prasanna"
] | https://www.isca-archive.org/interspeech_2021/tzudir21_interspeech.html | https://www.isca-archive.org/interspeech_2021/tzudir21_interspeech.pdf | 10.21437/Interspeech.2021-1672 | 1524-1528 | @inproceedings{tzudir21_interspeech,
title = {{Excitation Source Feature Based Dialect Identification in Ao — A Low Resource Language}},
author = {Moakala Tzudir and Shikha Baghel and Priyankoo Sarmah and S.R. Mahadeva Prasanna},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1524--... | Ao is an under-resourced Tibeto-Burman tonal language spoken in Nagaland,
India. There are three distinct dialects of the language, namely, Chungli,
Mongsen and Changki. The objective of dialect identification is to
identify one dialect from the other within the same language family.
The goal of this study is to ascert... | null | null |
khare21_interspeech | Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration | [
"Shreya Khare",
"Ashish Mittal",
"Anuj Diwan",
"Sunita Sarawagi",
"Preethi Jyothi",
"Samarth Bharadwaj"
] | https://www.isca-archive.org/interspeech_2021/khare21_interspeech.html | https://www.isca-archive.org/interspeech_2021/khare21_interspeech.pdf | 10.21437/Interspeech.2021-2062 | 1529-1533 | @inproceedings{khare21_interspeech,
title = {{Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration}},
author = {Shreya Khare and Ashish Mittal and Anuj Diwan and Sunita Sarawagi and Preethi Jyothi and Samarth Bharadwaj},
year = {2021},
booktitle = {{Interspeech 2021}},
p... | Cross-lingual transfer of knowledge from high-resource languages to
low-resource languages is an important research problem in automatic
speech recognition (ASR). We propose a new strategy of transfer learning
by pretraining using large amounts of speech in the high-resource language
but with its text transliterated to... | null | null |
feng21_interspeech | Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation | [
"Siyuan Feng",
"Piotr Żelasko",
"Laureano Moro-Velázquez",
"Odette Scharenborg"
] | https://www.isca-archive.org/interspeech_2021/feng21_interspeech.html | https://www.isca-archive.org/interspeech_2021/feng21_interspeech.pdf | 10.21437/Interspeech.2021-1664 | 1534-1538 | @inproceedings{feng21_interspeech,
title = {{Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation}},
author = {Siyuan Feng and Piotr Żelasko and Laureano Moro-Velázquez and Odette Scharenborg},
year = {2021},
booktitle = {{Interspeec... | This paper tackles automatically discovering phone-like acoustic units
(AUD) from unlabeled speech data. Past studies usually proposed single-step
approaches. We propose a two-stage approach: the first stage learns
a subword-discriminative feature representation, and the second stage
applies clustering to the learned r... | 2104.00994 | title_snapshot |
kamper21_interspeech | Towards Unsupervised Phone and Word Segmentation Using Self-Supervised Vector-Quantized Neural Networks | [
"Herman Kamper",
"Benjamin van Niekerk"
] | https://www.isca-archive.org/interspeech_2021/kamper21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kamper21_interspeech.pdf | 10.21437/Interspeech.2021-50 | 1539-1543 | @inproceedings{kamper21_interspeech,
title = {{Towards Unsupervised Phone and Word Segmentation Using Self-Supervised Vector-Quantized Neural Networks}},
author = {Herman Kamper and Benjamin van Niekerk},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1539--1543},
doi = {10.... | We investigate segmenting and clustering speech into low-bitrate phone-like
sequences without supervision. We specifically constrain pretrained
self-supervised vector-quantized (VQ) neural networks so that blocks
of contiguous feature vectors are assigned to the same code, thereby
giving a variable-rate segmentation of... | 2012.07551 | title_snapshot |
jiang21_interspeech | Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning | [
"Dongwei Jiang",
"Wubo Li",
"Miao Cao",
"Wei Zou",
"Xiangang Li"
] | https://www.isca-archive.org/interspeech_2021/jiang21_interspeech.html | https://www.isca-archive.org/interspeech_2021/jiang21_interspeech.pdf | 10.21437/Interspeech.2021-391 | 1544-1548 | @inproceedings{jiang21_interspeech,
title = {{Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning}},
author = {Dongwei Jiang and Wubo Li and Miao Cao and Wei Zou and Xiangang Li},
year = {2021},
booktitle = {{Interspeech 2021}},
page... | Self-supervised visual pretraining has shown significant progress recently.
Among those methods, SimCLR greatly advanced the state of the art in
self-supervised and semi-supervised learning on ImageNet. The input
feature representations for speech and visual tasks are both continuous,
so it is natural to consider apply... | 2010.13991 | title_snapshot |
jacobs21_interspeech | Multilingual Transfer of Acoustic Word Embeddings Improves When Training on Languages Related to the Target Zero-Resource Language | [
"Christiaan Jacobs",
"Herman Kamper"
] | https://www.isca-archive.org/interspeech_2021/jacobs21_interspeech.html | https://www.isca-archive.org/interspeech_2021/jacobs21_interspeech.pdf | 10.21437/Interspeech.2021-461 | 1549-1553 | @inproceedings{jacobs21_interspeech,
title = {{Multilingual Transfer of Acoustic Word Embeddings Improves When Training on Languages Related to the Target Zero-Resource Language}},
author = {Christiaan Jacobs and Herman Kamper},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1549--1... | Acoustic word embedding models map variable duration speech segments
to fixed dimensional vectors, enabling efficient speech search and
discovery. Previous work explored how embeddings can be obtained in
zero-resource settings where no labelled data is available in the target
language. The current best approach uses tr... | 2106.12834 | title_snapshot |
niekerk21_interspeech | Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing | [
"Benjamin van Niekerk",
"Leanne Nortje",
"Matthew Baas",
"Herman Kamper"
] | https://www.isca-archive.org/interspeech_2021/niekerk21_interspeech.html | https://www.isca-archive.org/interspeech_2021/niekerk21_interspeech.pdf | 10.21437/Interspeech.2021-1182 | 1554-1558 | @inproceedings{niekerk21_interspeech,
title = {{Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing}},
author = {Benjamin van Niekerk and Leanne Nortje and Matthew Baas and Herman Kamper},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {... | Contrastive predictive coding (CPC) aims to learn representations of
speech by distinguishing future observations from a set of negative
examples. Previous work has shown that linear classifiers trained on
CPC features can accurately predict speaker and phone labels. However,
it is unclear how the features actually cap... | 2108.00917 | title_snapshot |
takahashi21_interspeech | Unsupervised Neural-Based Graph Clustering for Variable-Length Speech Representation Discovery of Zero-Resource Languages | [
"Shun Takahashi",
"Sakriani Sakti",
"Satoshi Nakamura"
] | https://www.isca-archive.org/interspeech_2021/takahashi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/takahashi21_interspeech.pdf | 10.21437/Interspeech.2021-1340 | 1559-1563 | @inproceedings{takahashi21_interspeech,
title = {{Unsupervised Neural-Based Graph Clustering for Variable-Length Speech Representation Discovery of Zero-Resource Languages}},
author = {Shun Takahashi and Sakriani Sakti and Satoshi Nakamura},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | Discovering symbolic units from unannotated speech data is fundamental
in zero resource speech technology. Previous studies focused on learning
fixed-length frame units based on acoustic features. Although they
achieve high quality, they also suffer from a high bit-rate due to
time-frame encoding. In this work, to disc... | null | null |
maekaku21_interspeech | Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021 | [
"Takashi Maekaku",
"Xuankai Chang",
"Yuya Fujita",
"Li-Wei Chen",
"Shinji Watanabe",
"Alexander Rudnicky"
] | https://www.isca-archive.org/interspeech_2021/maekaku21_interspeech.html | https://www.isca-archive.org/interspeech_2021/maekaku21_interspeech.pdf | 10.21437/Interspeech.2021-1503 | 1564-1568 | @inproceedings{maekaku21_interspeech,
title = {{Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021}},
author = {Takashi Maekaku and Xuankai Chang and Yuya Fujita and Li-Wei Chen and Shinji Watanabe and Alexander Rudnicky},
year = {2021},
bookti... | We present a system for the Zero Resource Speech Challenge 2021, which
combines a Contrastive Predictive Coding (CPC) with deep cluster. In
deep cluster, we first prepare pseudo-labels obtained by clustering
the outputs of a CPC network with k-means. Then, we train an additional
autoregressive model to classify the pre... | 2107.05899 | title_snapshot |
cui21_interspeech | Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features | [
"Xia Cui",
"Amila Gamage",
"Terry Hanley",
"Tingting Mu"
] | https://www.isca-archive.org/interspeech_2021/cui21_interspeech.html | https://www.isca-archive.org/interspeech_2021/cui21_interspeech.pdf | 10.21437/Interspeech.2021-1525 | 1569-1573 | @inproceedings{cui21_interspeech,
title = {{Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features}},
author = {Xia Cui and Amila Gamage and Terry Hanley and Tingting Mu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1569--1573},
d... | In order to protect vulnerable people in telemarketing, organisations
have to investigate the speech recordings to identify them first. Typically,
the investigation is manually conducted. As such, the procedure is
costly and time-consuming. With an automatic vulnerability detection
system, more vulnerable people can be... | null | null |
dunbar21_interspeech | The Zero Resource Speech Challenge 2021: Spoken Language Modelling | [
"Ewan Dunbar",
"Mathieu Bernard",
"Nicolas Hamilakis",
"Tu Anh Nguyen",
"Maureen de Seyssel",
"Patricia Rozé",
"Morgane Rivière",
"Eugene Kharitonov",
"Emmanuel Dupoux"
] | https://www.isca-archive.org/interspeech_2021/dunbar21_interspeech.html | https://www.isca-archive.org/interspeech_2021/dunbar21_interspeech.pdf | 10.21437/Interspeech.2021-1755 | 1574-1578 | @inproceedings{dunbar21_interspeech,
title = {{The Zero Resource Speech Challenge 2021: Spoken Language Modelling}},
author = {Ewan Dunbar and Mathieu Bernard and Nicolas Hamilakis and Tu Anh Nguyen and Maureen de Seyssel and Patricia Rozé and Morgane Rivière and Eugene Kharitonov and Emmanuel Dupoux},
yea... | We present the Zero Resource Speech Challenge 2021, which asks participants
to learn a language model directly from audio, without any text or
labels. The challenge is based on the Libri-light dataset, which provides
up to 60k hours of audio from English audio books without any associated
text. We provide a pipeline ba... | 2104.14700 | title_snapshot |
gudur21_interspeech | Zero-Shot Federated Learning with New Classes for Audio Classification | [
"Gautham Krishna Gudur",
"Satheesh Kumar Perepu"
] | https://www.isca-archive.org/interspeech_2021/gudur21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gudur21_interspeech.pdf | 10.21437/Interspeech.2021-2264 | 1579-1583 | @inproceedings{gudur21_interspeech,
title = {{Zero-Shot Federated Learning with New Classes for Audio Classification}},
author = {Gautham Krishna Gudur and Satheesh Kumar Perepu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1579--1583},
doi = {10.21437/Interspeech.2021-22... | Federated learning is an effective way of extracting insights from
different user devices while preserving the privacy of users. However,
new classes with completely unseen data distributions can stream across
any device in a federated learning setting, whose data cannot be accessed
by the global server or other users.... | 2106.10019 | title_snapshot |
rouditchenko21_interspeech | AVLnet: Learning Audio-Visual Language Representations from Instructional Videos | [
"Andrew Rouditchenko",
"Angie Boggust",
"David Harwath",
"Brian Chen",
"Dhiraj Joshi",
"Samuel Thomas",
"Kartik Audhkhasi",
"Hilde Kuehne",
"Rameswar Panda",
"Rogerio Feris",
"Brian Kingsbury",
"Michael Picheny",
"Antonio Torralba",
"James Glass"
] | https://www.isca-archive.org/interspeech_2021/rouditchenko21_interspeech.html | https://www.isca-archive.org/interspeech_2021/rouditchenko21_interspeech.pdf | 10.21437/Interspeech.2021-1312 | 1584-1588 | @inproceedings{rouditchenko21_interspeech,
title = {{AVLnet: Learning Audio-Visual Language Representations from Instructional Videos}},
author = {Andrew Rouditchenko and Angie Boggust and David Harwath and Brian Chen and Dhiraj Joshi and Samuel Thomas and Kartik Audhkhasi and Hilde Kuehne and Rameswar Panda... | Current methods for learning visually grounded language from videos
often rely on text annotation, such as human generated captions or
machine generated automatic speech recognition (ASR) transcripts. In
this work, we introduce the Audio-Video Language Network (AVLnet),
a self-supervised network that learns a shared au... | 2006.09199 | title_snapshot |
lee21b_interspeech | N-Singer: A Non-Autoregressive Korean Singing Voice Synthesis System for Pronunciation Enhancement | [
"Gyeong-Hoon Lee",
"Tae-Woo Kim",
"Hanbin Bae",
"Min-Ji Lee",
"Young-Ik Kim",
"Hoon-Young Cho"
] | https://www.isca-archive.org/interspeech_2021/lee21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/lee21b_interspeech.pdf | 10.21437/Interspeech.2021-239 | 1589-1593 | @inproceedings{lee21b_interspeech,
title = {{N-Singer: A Non-Autoregressive Korean Singing Voice Synthesis System for Pronunciation Enhancement}},
author = {Gyeong-Hoon Lee and Tae-Woo Kim and Hanbin Bae and Min-Ji Lee and Young-Ik Kim and Hoon-Young Cho},
year = {2021},
booktitle = {{Interspeech 20... | Recently, end-to-end Korean singing voice systems have been designed
to generate realistic singing voices. However, these systems still
suffer from a lack of robustness in terms of pronunciation accuracy.
In this paper, we propose N-Singer, a non-autoregressive Korean singing
voice system, to synthesize accurate and pr... | 2106.15205 | title_snapshot |
maniati21_interspeech | Cross-Lingual Low Resource Speaker Adaptation Using Phonological Features | [
"Georgia Maniati",
"Nikolaos Ellinas",
"Konstantinos Markopoulos",
"Georgios Vamvoukakis",
"June Sig Sung",
"Hyoungmin Park",
"Aimilios Chalamandaris",
"Pirros Tsiakoulis"
] | https://www.isca-archive.org/interspeech_2021/maniati21_interspeech.html | https://www.isca-archive.org/interspeech_2021/maniati21_interspeech.pdf | 10.21437/Interspeech.2021-327 | 1594-1598 | @inproceedings{maniati21_interspeech,
title = {{Cross-Lingual Low Resource Speaker Adaptation Using Phonological Features}},
author = {Georgia Maniati and Nikolaos Ellinas and Konstantinos Markopoulos and Georgios Vamvoukakis and June Sig Sung and Hyoungmin Park and Aimilios Chalamandaris and Pirros Tsiakoul... | The idea of using phonological features instead of phonemes as input
to sequence-to-sequence TTS has been recently proposed for zero-shot
multilingual speech synthesis. This approach is useful for code-switching,
as it facilitates the seamless uttering of foreign text embedded in
a stream of native text. In our work, w... | 2111.09075 | title_snapshot |
zhan21_interspeech | Improve Cross-Lingual Text-To-Speech Synthesis on Monolingual Corpora with Pitch Contour Information | [
"Haoyue Zhan",
"Haitong Zhang",
"Wenjie Ou",
"Yue Lin"
] | https://www.isca-archive.org/interspeech_2021/zhan21_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhan21_interspeech.pdf | 10.21437/Interspeech.2021-474 | 1599-1603 | @inproceedings{zhan21_interspeech,
title = {{Improve Cross-Lingual Text-To-Speech Synthesis on Monolingual Corpora with Pitch Contour Information}},
author = {Haoyue Zhan and Haitong Zhang and Wenjie Ou and Yue Lin},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1599--1603},
doi ... | Cross-lingual text-to-speech (TTS) synthesis on monolingual corpora
is still a challenging task, especially when many kinds of languages
are involved. In this paper, we improve the cross-lingual TTS model
on monolingual corpora with pitch contour information. We propose a
method to obtain pitch contour sequences for di... | null | null |
yang21d_interspeech | Cross-Lingual Voice Conversion with Disentangled Universal Linguistic Representations | [
"Zhenchuan Yang",
"Weibin Zhang",
"Yufei Liu",
"Xiaofen Xing"
] | https://www.isca-archive.org/interspeech_2021/yang21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/yang21d_interspeech.pdf | 10.21437/Interspeech.2021-552 | 1604-1608 | @inproceedings{yang21d_interspeech,
title = {{Cross-Lingual Voice Conversion with Disentangled Universal Linguistic Representations}},
author = {Zhenchuan Yang and Weibin Zhang and Yufei Liu and Xiaofen Xing},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1604--1608},
doi =... | Intra-lingual voice conversion has achieved great progress recently
in terms of naturalness and similarity. However, in cross-lingual voice
conversion, there is still an urgent need to improve the quality of
the converted speech, especially with nonparallel training data. Previous
works usually use Phonetic Posteriorgr... | null | null |
liu21e_interspeech | EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder | [
"Zhengchen Liu",
"Chenfeng Miao",
"Qingying Zhu",
"Minchuan Chen",
"Jun Ma",
"Shaojun Wang",
"Jing Xiao"
] | https://www.isca-archive.org/interspeech_2021/liu21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/liu21e_interspeech.pdf | 10.21437/Interspeech.2021-771 | 1609-1613 | @inproceedings{liu21e_interspeech,
title = {{EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder}},
author = {Zhengchen Liu and Chenfeng Miao and Qingying Zhu and Minchuan Chen and Jun Ma and Shaojun Wang and Jing Xiao},
year = {2021},
book... | In this paper, we present EfficientSing, a Chinese singing voice synthesis
(SVS) system based on a non-autoregressive duration-free acoustic model
and HiFi-GAN neural vocoder. Different from many existing SVS methods,
no auxiliary duration prediction module is needed in this work, since
a newly proposed monotonic align... | null | null |
xin21_interspeech | Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech Synthesis | [
"Detai Xin",
"Yuki Saito",
"Shinnosuke Takamichi",
"Tomoki Koriyama",
"Hiroshi Saruwatari"
] | https://www.isca-archive.org/interspeech_2021/xin21_interspeech.html | https://www.isca-archive.org/interspeech_2021/xin21_interspeech.pdf | 10.21437/Interspeech.2021-897 | 1614-1618 | @inproceedings{xin21_interspeech,
title = {{Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech Synthesis}},
author = {Detai Xin and Yuki Saito and Shinnosuke Takamichi and Tomoki Koriyama and Hiroshi Saruwatari},
year = {2021},
booktitle = {{Inte... | We present a cross-lingual speaker adaptation method based on domain
adaptation and a speaker consistency loss for text-to-speech (TTS)
synthesis. Existing monolingual speaker adaptation methods based on
direct fine-tuning are not applicable for cross-lingual data. The proposed
method first trains a language-independen... | null | null |
shang21_interspeech | Incorporating Cross-Speaker Style Transfer for Multi-Language Text-to-Speech | [
"Zengqiang Shang",
"Zhihua Huang",
"Haozhe Zhang",
"Pengyuan Zhang",
"Yonghong Yan"
] | https://www.isca-archive.org/interspeech_2021/shang21_interspeech.html | https://www.isca-archive.org/interspeech_2021/shang21_interspeech.pdf | 10.21437/Interspeech.2021-1265 | 1619-1623 | @inproceedings{shang21_interspeech,
title = {{Incorporating Cross-Speaker Style Transfer for Multi-Language Text-to-Speech}},
author = {Zengqiang Shang and Zhihua Huang and Haozhe Zhang and Pengyuan Zhang and Yonghong Yan},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1619--1623},... | Recently multilingual TTS systems using only monolingual datasets have
obtained significant improvement. However, the quality of cross-language
speech synthesis is not comparable to the speaker’s own language
and often comes with a heavy foreign accent. This paper proposed a
multi-speaker multi-style multi-language spe... | null | null |
kesim21_interspeech | Investigating Contributions of Speech and Facial Landmarks for Talking Head Generation | [
"Ege Kesim",
"Engin Erzin"
] | https://www.isca-archive.org/interspeech_2021/kesim21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kesim21_interspeech.pdf | 10.21437/Interspeech.2021-1585 | 1624-1628 | @inproceedings{kesim21_interspeech,
title = {{Investigating Contributions of Speech and Facial Landmarks for Talking Head Generation}},
author = {Ege Kesim and Engin Erzin},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1624--1628},
doi = {10.21437/Interspeech.2021-1585},
... | Talking head generation is an active research problem. It has been
widely studied as a direct speech-to-video or two stage speech-to-landmarks-to-video
mapping problem. In this study, our main motivation is to assess individual
and joint contributions of the speech and facial landmarks to the talking
head generation qu... | null | null |
si21b_interspeech | Speech2Video: Cross-Modal Distillation for Speech to Video Generation | [
"Shijing Si",
"Jianzong Wang",
"Xiaoyang Qu",
"Ning Cheng",
"Wenqi Wei",
"Xinghua Zhu",
"Jing Xiao"
] | https://www.isca-archive.org/interspeech_2021/si21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/si21b_interspeech.pdf | 10.21437/Interspeech.2021-1996 | 1629-1633 | @inproceedings{si21b_interspeech,
title = {{Speech2Video: Cross-Modal Distillation for Speech to Video Generation}},
author = {Shijing Si and Jianzong Wang and Xiaoyang Qu and Ning Cheng and Wenqi Wei and Xinghua Zhu and Jing Xiao},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {162... | This paper investigates a novel task of talking face video generation
solely from speeches. The speech-to-video generation technique can
spark interesting applications in entertainment, customer service,
and human-computer-interaction industries. Indeed, the timbre, accent
and speed in speeches could contain rich infor... | 2107.04806 | title_snapshot |
lee21c_interspeech | NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling | [
"Junhyeok Lee",
"Seungu Han"
] | https://www.isca-archive.org/interspeech_2021/lee21c_interspeech.html | https://www.isca-archive.org/interspeech_2021/lee21c_interspeech.pdf | 10.21437/Interspeech.2021-36 | 1634-1638 | @inproceedings{lee21c_interspeech,
title = {{NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling}},
author = {Junhyeok Lee and Seungu Han},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1634--1638},
doi = {10.21437/Interspeech.2021-36},
issn = {2958-... | In this work, we introduce NU-Wave , the first neural audio upsampling
model to produce waveforms of sampling rate 48kHz from coarse 16kHz
or 24kHz inputs, while prior works could generate only up to 16kHz.
NU-Wave is the first diffusion probabilistic model for audio super-resolution
which is engineered based on neural... | 2104.02321 | title_snapshot |
lin21c_interspeech | QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization | [
"Gang-Xuan Lin",
"Shih-Wei Hu",
"Yen-Ju Lu",
"Yu Tsao",
"Chun-Shien Lu"
] | https://www.isca-archive.org/interspeech_2021/lin21c_interspeech.html | https://www.isca-archive.org/interspeech_2021/lin21c_interspeech.pdf | 10.21437/Interspeech.2021-670 | 1639-1643 | @inproceedings{lin21c_interspeech,
title = {{QISTA-Net-Audio: Audio Super-Resolution via Non-Convex ℓ_q-Norm Minimization}},
author = {Gang-Xuan Lin and Shih-Wei Hu and Yen-Ju Lu and Yu Tsao and Chun-Shien Lu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1639--1643},
doi ... | Audio super-resolution (ASR) aims to reconstruct the high-resolution
signal from its corresponding low-resolution one, which is hard while
the correlation between them is low. In this paper, we
propose a learning model, QISTA-Net-Audio, to solve ASR in a paradigm
of linear inverse problem. QISTA-Net-Audio is composed o... | null | null |
wen21_interspeech | X-net: A Joint Scale Down and Scale Up Method for Voice Call | [
"Liang Wen",
"Lizhong Wang",
"Xue Wen",
"Yuxing Zheng",
"Youngo Park",
"Kwang Pyo Choi"
] | https://www.isca-archive.org/interspeech_2021/wen21_interspeech.html | https://www.isca-archive.org/interspeech_2021/wen21_interspeech.pdf | 10.21437/Interspeech.2021-812 | 1644-1648 | @inproceedings{wen21_interspeech,
title = {{X-net: A Joint Scale Down and Scale Up Method for Voice Call}},
author = {Liang Wen and Lizhong Wang and Xue Wen and Yuxing Zheng and Youngo Park and Kwang Pyo Choi},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1644--1648},
doi ... | This paper proposes X-net, a jointly learned scale-down and scale-up
architecture for data pre- and post-processing in voice calls, as a
means to bandwidth extension over band-limited channels. Scale-down
and scale-up are deployed separately on transmitter and receiver to
perform down- and upsampling. Separate supervis... | null | null |
zhang21k_interspeech | WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution | [
"Kexun Zhang",
"Yi Ren",
"Changliang Xu",
"Zhou Zhao"
] | https://www.isca-archive.org/interspeech_2021/zhang21k_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21k_interspeech.pdf | 10.21437/Interspeech.2021-892 | 1649-1653 | @inproceedings{zhang21k_interspeech,
title = {{WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution}},
author = {Kexun Zhang and Yi Ren and Changliang Xu and Zhou Zhao},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1649--1653},
doi = {10.21437/Intersp... | Audio super-resolution is the task of constructing a high-resolution
(HR) audio from a low-resolution (LR) audio by adding the missing band.
Previous methods based on convolutional neural networks and mean squared
error training objective have relatively low performance, while adversarial
generative models are difficul... | 2106.08507 | title_snapshot |
yi21_interspeech | Half-Truth: A Partially Fake Audio Detection Dataset | [
"Jiangyan Yi",
"Ye Bai",
"Jianhua Tao",
"Haoxin Ma",
"Zhengkun Tian",
"Chenglong Wang",
"Tao Wang",
"Ruibo Fu"
] | https://www.isca-archive.org/interspeech_2021/yi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/yi21_interspeech.pdf | 10.21437/Interspeech.2021-930 | 1654-1658 | @inproceedings{yi21_interspeech,
title = {{Half-Truth: A Partially Fake Audio Detection Dataset}},
author = {Jiangyan Yi and Ye Bai and Jianhua Tao and Haoxin Ma and Zhengkun Tian and Chenglong Wang and Tao Wang and Ruibo Fu},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1654--165... | Diverse promising datasets have been designed to further the development
of fake audio detection, such as ASVspoof databases. However, previous
datasets ignore an attacking situation, in which the hacker hides some
small fake clips in real speech audio. This poses a serious threat
since that it is difficult to distingu... | 2104.03617 | title_snapshot |
chettri21_interspeech | Data Quality as Predictor of Voice Anti-Spoofing Generalization | [
"Bhusan Chettri",
"Rosa González Hautamäki",
"Md. Sahidullah",
"Tomi Kinnunen"
] | https://www.isca-archive.org/interspeech_2021/chettri21_interspeech.html | https://www.isca-archive.org/interspeech_2021/chettri21_interspeech.pdf | 10.21437/Interspeech.2021-1180 | 1659-1663 | @inproceedings{chettri21_interspeech,
title = {{Data Quality as Predictor of Voice Anti-Spoofing Generalization}},
author = {Bhusan Chettri and Rosa González Hautamäki and Md. Sahidullah and Tomi Kinnunen},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1659--1663},
doi = {1... | Voice anti-spoofing aims at classifying a given utterance either as
a bonafide human sample, or a spoofing attack (e.g. synthetic or replayed
sample). Many anti-spoofing methods have been proposed but most of
them fail to generalize across domains (corpora) — and we do
not know why . We outline a novel interpretative f... | 2103.14602 | title_snapshot |
cheon21_interspeech | Coded Speech Enhancement Using Neural Network-Based Vector-Quantized Residual Features | [
"Youngju Cheon",
"Soojoong Hwang",
"Sangwook Han",
"Inseon Jang",
"Jong Won Shin"
] | https://www.isca-archive.org/interspeech_2021/cheon21_interspeech.html | https://www.isca-archive.org/interspeech_2021/cheon21_interspeech.pdf | 10.21437/Interspeech.2021-1204 | 1664-1668 | @inproceedings{cheon21_interspeech,
title = {{Coded Speech Enhancement Using Neural Network-Based Vector-Quantized Residual Features}},
author = {Youngju Cheon and Soojoong Hwang and Sangwook Han and Inseon Jang and Jong Won Shin},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1664... | Various approaches have been proposed to improve the quality of the
speech coded at low bitrates. Recently, deep neural networks have also
been used for speech coding, providing a high quality of speech with
low bitrates. Although designing an entire codec with neural networks
may be more effective, backward compatibil... | null | null |
drude21_interspeech | Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget | [
"Lukas Drude",
"Jahn Heymann",
"Andreas Schwarz",
"Jean-Marc Valin"
] | https://www.isca-archive.org/interspeech_2021/drude21_interspeech.html | https://www.isca-archive.org/interspeech_2021/drude21_interspeech.pdf | 10.21437/Interspeech.2021-1214 | 1669-1673 | @inproceedings{drude21_interspeech,
title = {{Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget}},
author = {Lukas Drude and Jahn Heymann and Andreas Schwarz and Jean-Marc Valin},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1669... | Automatic speech recognition (ASR) in the cloud allows the use of larger
models and more powerful multi-channel signal processing front-ends
compared to on-device processing. However, it also adds an inherent
latency due to the transmission of the audio signal, especially when
transmitting multiple channels of a microp... | 2106.07994 | title_snapshot |
siegert21_interspeech | Effects of Prosodic Variations on Accidental Triggers of a Commercial Voice Assistant | [
"Ingo Siegert"
] | https://www.isca-archive.org/interspeech_2021/siegert21_interspeech.html | https://www.isca-archive.org/interspeech_2021/siegert21_interspeech.pdf | 10.21437/Interspeech.2021-1354 | 1674-1678 | @inproceedings{siegert21_interspeech,
title = {{Effects of Prosodic Variations on Accidental Triggers of a Commercial Voice Assistant}},
author = {Ingo Siegert},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1674--1678},
doi = {10.21437/Interspeech.2021-1354},
issn =... | The use of modern voice assistants has rapidly grown and they can be
found in more and more households. By design, these systems have to
scan every sound in their surroundings waiting for their respective
wake-word before being able to react to the users’ commands.
The drawback of this method is that phonetic similar e... | null | null |
gabrys21_interspeech | Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows | [
"Adam Gabryś",
"Yunlong Jiao",
"Viacheslav Klimkov",
"Daniel Korzekwa",
"Roberto Barra-Chicote"
] | https://www.isca-archive.org/interspeech_2021/gabrys21_interspeech.html | https://www.isca-archive.org/interspeech_2021/gabrys21_interspeech.pdf | 10.21437/Interspeech.2021-1555 | 1679-1683 | @inproceedings{gabrys21_interspeech,
title = {{Improving the Expressiveness of Neural Vocoding with Non-Affine Normalizing Flows}},
author = {Adam Gabryś and Yunlong Jiao and Viacheslav Klimkov and Daniel Korzekwa and Roberto Barra-Chicote},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | This paper proposes a general enhancement to the Normalizing Flows
(NF) used in neural vocoding. As a case study, we improve expressive
speech vocoding with a revamped Parallel Wavenet (PW). Specifically,
we propose to extend the affine transformation of PW to the more expressive
invertible non-affine function. The gre... | 2106.08649 | title_snapshot |
prajapati21_interspeech | Voice Privacy Through x-Vector and CycleGAN-Based Anonymization | [
"Gauri P. Prajapati",
"Dipesh K. Singh",
"Preet P. Amin",
"Hemant A. Patil"
] | https://www.isca-archive.org/interspeech_2021/prajapati21_interspeech.html | https://www.isca-archive.org/interspeech_2021/prajapati21_interspeech.pdf | 10.21437/Interspeech.2021-1573 | 1684-1688 | @inproceedings{prajapati21_interspeech,
title = {{Voice Privacy Through x-Vector and CycleGAN-Based Anonymization}},
author = {Gauri P. Prajapati and Dipesh K. Singh and Preet P. Amin and Hemant A. Patil},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1684--1688},
doi = {10... | With the rise in usage of voice assistants and spoken language interfaces,
important concerns regarding voice data privacy have been prompted.
In an attempt to reduce the threat of attacks on voice data, in this
paper, we propose a speaker anonymization system based on CycleGAN.
This method modifies the speaker’s gende... | null | null |
lin21d_interspeech | A Two-Stage Approach to Speech Bandwidth Extension | [
"Ju Lin",
"Yun Wang",
"Kaustubh Kalgaonkar",
"Gil Keren",
"Didi Zhang",
"Christian Fuegen"
] | https://www.isca-archive.org/interspeech_2021/lin21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/lin21d_interspeech.pdf | 10.21437/Interspeech.2021-1941 | 1689-1693 | @inproceedings{lin21d_interspeech,
title = {{A Two-Stage Approach to Speech Bandwidth Extension}},
author = {Ju Lin and Yun Wang and Kaustubh Kalgaonkar and Gil Keren and Didi Zhang and Christian Fuegen},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1689--1693},
doi = {10.... | Algorithms for speech bandwidth extension (BWE) may work in either
the time domain or the frequency domain. Time-domain methods often
do not sufficiently recover the high-frequency content of speech signals;
frequency-domain methods are better at recovering the spectral envelope,
but have difficulty reconstructing the ... | null | null |
byun21_interspeech | Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder | [
"Joon Byun",
"Seungmin Shin",
"Youngcheol Park",
"Jongmo Sung",
"Seungkwon Beack"
] | https://www.isca-archive.org/interspeech_2021/byun21_interspeech.html | https://www.isca-archive.org/interspeech_2021/byun21_interspeech.pdf | 10.21437/Interspeech.2021-2151 | 1694-1698 | @inproceedings{byun21_interspeech,
title = {{Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder}},
author = {Joon Byun and Seungmin Shin and Youngcheol Park and Jongmo Sung and Seungkwon Beack},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | This paper presents a loss function to compensate for the perceptual
loss of the deep neural network (DNN)-based speech coder. By utilizing
the psychoacoustic model (PAM), we design a loss function to maximize
the mask-to-noise ratio (MNR) in multi-resolution Mel-frequency scales.
Also, a perceptual entropy (PE)-based ... | null | null |
stoidis21_interspeech | Protecting Gender and Identity with Disentangled Speech Representations | [
"Dimitrios Stoidis",
"Andrea Cavallaro"
] | https://www.isca-archive.org/interspeech_2021/stoidis21_interspeech.html | https://www.isca-archive.org/interspeech_2021/stoidis21_interspeech.pdf | 10.21437/Interspeech.2021-2163 | 1699-1703 | @inproceedings{stoidis21_interspeech,
title = {{Protecting Gender and Identity with Disentangled Speech Representations}},
author = {Dimitrios Stoidis and Andrea Cavallaro},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1699--1703},
doi = {10.21437/Interspeech.2021-2163},
... | Besides its linguistic content, our speech is rich in biometric information
that can be inferred by classifiers. Learning privacy-preserving representations
for speech signals enables downstream tasks without sharing unnecessary,
private information about an individual. In this paper, we show that
protecting gender inf... | 2104.11051 | title_snapshot |
aldholmi21_interspeech | Perception of Standard Arabic Synthetic Speech Rate | [
"Yahya Aldholmi",
"Rawan Aldhafyan",
"Asma Alqahtani"
] | https://www.isca-archive.org/interspeech_2021/aldholmi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/aldholmi21_interspeech.pdf | 10.21437/Interspeech.2021-39 | 1704-1707 | @inproceedings{aldholmi21_interspeech,
title = {{Perception of Standard Arabic Synthetic Speech Rate}},
author = {Yahya Aldholmi and Rawan Aldhafyan and Asma Alqahtani},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1704--1707},
doi = {10.21437/Interspeech.2021-39},
issn ... | This experiment investigated how Arabic speakers perceive synthetic
Standard Arabic speech rate produced by Google TTS, at normal vs. accelerated
rates. Twenty syntactically identical Standard Arabic sentences with
a similar length ( M = 22 syllables per sentence, SD = 1)
were auditorily presented in a female voice to ... | null | null |
kishiyama21_interspeech | The Influence of Parallel Processing on Illusory Vowels | [
"Takeshi Kishiyama"
] | https://www.isca-archive.org/interspeech_2021/kishiyama21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kishiyama21_interspeech.pdf | 10.21437/Interspeech.2021-89 | 1708-1712 | @inproceedings{kishiyama21_interspeech,
title = {{The Influence of Parallel Processing on Illusory Vowels}},
author = {Takeshi Kishiyama},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1708--1712},
doi = {10.21437/Interspeech.2021-89},
issn = {2958-1796},
} | Research has shown that listeners perceive illusory vowels inside consonant
clusters that are not allowed in their L1. This phenomenon has been
examined using several psycholinguistic and computational models, including
hidden Markov models (HMMs), applied to human phoneme perception. However,
the inference algorithm o... | null | null |
chingacham21_interspeech | Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors | [
"Anupama Chingacham",
"Vera Demberg",
"Dietrich Klakow"
] | https://www.isca-archive.org/interspeech_2021/chingacham21_interspeech.html | https://www.isca-archive.org/interspeech_2021/chingacham21_interspeech.pdf | 10.21437/Interspeech.2021-306 | 1713-1717 | @inproceedings{chingacham21_interspeech,
title = {{Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors}},
author = {Anupama Chingacham and Vera Demberg and Dietrich Klakow},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1713--1717},
do... | Listening in noisy environments can be difficult even for individuals
with a normal hearing thresholds. The speech signal can be masked by
noise, which may lead to word misperceptions on the side of the listener,
and overall difficulty to understand the message. To mitigate hearing
difficulties on listeners, a co-opera... | 2107.08337 | title_snapshot |
simantiraki21_interspeech | SpeechAdjuster: A Tool for Investigating Listener Preferences and Speech Intelligibility | [
"Olympia Simantiraki",
"Martin Cooke"
] | https://www.isca-archive.org/interspeech_2021/simantiraki21_interspeech.html | https://www.isca-archive.org/interspeech_2021/simantiraki21_interspeech.pdf | 10.21437/Interspeech.2021-324 | 1718-1722 | @inproceedings{simantiraki21_interspeech,
title = {{ SpeechAdjuster: A Tool for Investigating Listener Preferences and Speech Intelligibility}},
author = {Olympia Simantiraki and Martin Cooke},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1718--1722},
doi = {10.21437/Inter... | Most of what we know about speech perception has been gleaned from
tests in which listeners respond to stimuli chosen by an experimenter.
This paper presents SpeechAdjuster, an open source tool that reverses
the roles of listener and experimenter by allowing listeners direct
control of speech characteristics in real-t... | null | null |
saito21_interspeech | VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification | [
"Susumu Saito",
"Yuta Ide",
"Teppei Nakano",
"Tetsuji Ogawa"
] | https://www.isca-archive.org/interspeech_2021/saito21_interspeech.html | https://www.isca-archive.org/interspeech_2021/saito21_interspeech.pdf | 10.21437/Interspeech.2021-464 | 1723-1727 | @inproceedings{saito21_interspeech,
title = {{VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification}},
author = {Susumu Saito and Yuta Ide and Teppei Nakano and Tetsuji Ogawa},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1723--1727},
doi = {10.21437/Inte... | This paper presents VocalTurk, a feasibility study of crowdsourced
speaker identification based on our worker dataset collected in Amazon
Mechanical Turk. Crowdsourced data labeling has already been acknowledged
in speech data processing nowadays, but empirical analysis that answer
to common questions such as “ how acc... | null | null |
xu21e_interspeech | Effects of Aging and Age-Related Hearing Loss on Talker Discrimination | [
"Min Xu",
"Jing Shao",
"Lan Wang"
] | https://www.isca-archive.org/interspeech_2021/xu21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/xu21e_interspeech.pdf | 10.21437/Interspeech.2021-682 | 1728-1732 | @inproceedings{xu21e_interspeech,
title = {{Effects of Aging and Age-Related Hearing Loss on Talker Discrimination}},
author = {Min Xu and Jing Shao and Lan Wang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1728--1732},
doi = {10.21437/Interspeech.2021-682},
issn ... | Paralinguistic information is as important as linguistic information.
Being familiar with talker’s voice may facilitate speech perception,
especially in challenging conditions. Previous studies have suggested
that aging and age-related hearing loss lead to the deterioration of
the phonetic and phonological processing a... | null | null |
zhang21l_interspeech | Relationships Between Perceptual Distinctiveness, Articulatory Complexity and Functional Load in Speech Communication | [
"Yuqing Zhang",
"Zhu Li",
"Bin Wu",
"Yanlu Xie",
"Binghuai Lin",
"Jinsong Zhang"
] | https://www.isca-archive.org/interspeech_2021/zhang21l_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21l_interspeech.pdf | 10.21437/Interspeech.2021-721 | 1733-1737 | @inproceedings{zhang21l_interspeech,
title = {{Relationships Between Perceptual Distinctiveness, Articulatory Complexity and Functional Load in Speech Communication}},
author = {Yuqing Zhang and Zhu Li and Bin Wu and Yanlu Xie and Binghuai Lin and Jinsong Zhang},
year = {2021},
booktitle = {{Intersp... | Work on communicative efficiency has hypothesized that phonological
contrasts signaling more meaning distinctions (i.e., of high functional
load (FL)) tend to have the least articulatory complexity and the highest
perceptual salience. However, only a few studies have examined the
preference for perceptual distinctivene... | null | null |
terblanche21_interspeech | Human Spoofing Detection Performance on Degraded Speech | [
"Camryn Terblanche",
"Philip Harrison",
"Amelia J. Gully"
] | https://www.isca-archive.org/interspeech_2021/terblanche21_interspeech.html | https://www.isca-archive.org/interspeech_2021/terblanche21_interspeech.pdf | 10.21437/Interspeech.2021-1225 | 1738-1742 | @inproceedings{terblanche21_interspeech,
title = {{Human Spoofing Detection Performance on Degraded Speech}},
author = {Camryn Terblanche and Philip Harrison and Amelia J. Gully},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1738--1742},
doi = {10.21437/Interspeech.2021-12... | Over the past few years attention has been focused on the automatic
detection of spoofing in the context of automatic speaker verification
(ASV) systems. However, little is known about how well humans perform
at detecting spoofed speech, particularly under degraded conditions.
Using the latest synthesis technologies fr... | null | null |
einfeldt21_interspeech | Reliable Estimates of Interpretable Cue Effects with Active Learning in Psycholinguistic Research | [
"Marieke Einfeldt",
"Rita Sevastjanova",
"Katharina Zahner-Ritter",
"Ekaterina Kazak",
"Bettina Braun"
] | https://www.isca-archive.org/interspeech_2021/einfeldt21_interspeech.html | https://www.isca-archive.org/interspeech_2021/einfeldt21_interspeech.pdf | 10.21437/Interspeech.2021-1524 | 1743-1747 | @inproceedings{einfeldt21_interspeech,
title = {{Reliable Estimates of Interpretable Cue Effects with Active Learning in Psycholinguistic Research}},
author = {Marieke Einfeldt and Rita Sevastjanova and Katharina Zahner-Ritter and Ekaterina Kazak and Bettina Braun},
year = {2021},
booktitle = {{Inte... | Studying the relative weighting of different cues for the interpretation
of a linguistic phenomenon is a core element in psycholinguistic research.
This research needs to strike a balance between two things: generalisability
to diverse lexical settings, which requires a high number of different
lexicalisations and the ... | null | null |
kumar21d_interspeech | Towards the Explainability of Multimodal Speech Emotion Recognition | [
"Puneet Kumar",
"Vishesh Kaushik",
"Balasubramanian Raman"
] | https://www.isca-archive.org/interspeech_2021/kumar21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/kumar21d_interspeech.pdf | 10.21437/Interspeech.2021-1718 | 1748-1752 | @inproceedings{kumar21d_interspeech,
title = {{Towards the Explainability of Multimodal Speech Emotion Recognition}},
author = {Puneet Kumar and Vishesh Kaushik and Balasubramanian Raman},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1748--1752},
doi = {10.21437/Interspeec... | In this paper, a multimodal speech emotion recognition system has been
developed, and a novel technique to explain its predictions has been
proposed. The audio and textual features are extracted separately using
attention-based Gated Recurrent Unit (GRU) and pre-trained Bidirectional
Encoder Representations from Transf... | null | null |
zeng21_interspeech | Primacy of Mouth over Eyes: Eye Movement Evidence from Audiovisual Mandarin Lexical Tones and Vowels | [
"Biao Zeng",
"Rui Wang",
"Guoxing Yu",
"Christian Dobel"
] | https://www.isca-archive.org/interspeech_2021/zeng21_interspeech.html | https://www.isca-archive.org/interspeech_2021/zeng21_interspeech.pdf | 10.21437/Interspeech.2021-1741 | 1753-1756 | @inproceedings{zeng21_interspeech,
title = {{Primacy of Mouth over Eyes: Eye Movement Evidence from Audiovisual Mandarin Lexical Tones and Vowels}},
author = {Biao Zeng and Rui Wang and Guoxing Yu and Christian Dobel},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1753--1756},
do... | This study investigated Chinese speakers’ eye movements when
they were asked to identify audiovisual Mandarin lexical tones and
vowels. In the lexical tone identification task, Chinese speakers were
presented with an audiovisual clip of Mandarin monosyllables (/ă/,
/à/, /ĭ/, /ì/) and asked to identify whether the sylla... | null | null |
ashihara21_interspeech | Investigating the Impact of Spectral and Temporal Degradation on End-to-End Automatic Speech Recognition Performance | [
"Takanori Ashihara",
"Takafumi Moriya",
"Makio Kashino"
] | https://www.isca-archive.org/interspeech_2021/ashihara21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ashihara21_interspeech.pdf | 10.21437/Interspeech.2021-2091 | 1757-1761 | @inproceedings{ashihara21_interspeech,
title = {{Investigating the Impact of Spectral and Temporal Degradation on End-to-End Automatic Speech Recognition Performance}},
author = {Takanori Ashihara and Takafumi Moriya and Makio Kashino},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = ... | Humans have a sophisticated capability to robustly handle incomplete
sensory input, as often happens in real environments. In earlier studies,
the robustness of human speech perception was observed qualitatively
by spectrally and temporally degraded stimuli. The current study investigates
how machine speech recognition... | null | null |
nguyen21c_interspeech | Super-Human Performance in Online Low-Latency Recognition of Conversational Speech | [
"Thai-Son Nguyen",
"Sebastian Stüker",
"Alex Waibel"
] | https://www.isca-archive.org/interspeech_2021/nguyen21c_interspeech.html | https://www.isca-archive.org/interspeech_2021/nguyen21c_interspeech.pdf | 10.21437/Interspeech.2021-1114 | 1762-1766 | @inproceedings{nguyen21c_interspeech,
title = {{Super-Human Performance in Online Low-Latency Recognition of Conversational Speech}},
author = {Thai-Son Nguyen and Sebastian Stüker and Alex Waibel},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1762--1766},
doi = {10.21437/... | Achieving super-human performance in recognizing human speech has been
a goal for several decades as researchers have worked on increasingly
challenging tasks. In the 1990’s it was discovered, that conversational
speech between two humans turns out to be considerably more difficult
than read speech as hesitations, disf... | 2010.03449 | title_snapshot |
joshi21_interspeech | Multiple Softmax Architecture for Streaming Multilingual End-to-End ASR Systems | [
"Vikas Joshi",
"Amit Das",
"Eric Sun",
"Rupesh R. Mehta",
"Jinyu Li",
"Yifan Gong"
] | https://www.isca-archive.org/interspeech_2021/joshi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/joshi21_interspeech.pdf | 10.21437/Interspeech.2021-1298 | 1767-1771 | @inproceedings{joshi21_interspeech,
title = {{Multiple Softmax Architecture for Streaming Multilingual End-to-End ASR Systems}},
author = {Vikas Joshi and Amit Das and Eric Sun and Rupesh R. Mehta and Jinyu Li and Yifan Gong},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1767--177... | Improving multilingual end-to-end (E2E) automatic speech recognition
(ASR) systems have manifold advantages. They simplify the training
strategy, are easier to scale and exhibit better performance over monolingual
models. However, it is still challenging to use a single multilingual
model to recognize multiple language... | null | null |
le21_interspeech | Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion | [
"Duc Le",
"Mahaveer Jain",
"Gil Keren",
"Suyoun Kim",
"Yangyang Shi",
"Jay Mahadeokar",
"Julian Chan",
"Yuan Shangguan",
"Christian Fuegen",
"Ozlem Kalinli",
"Yatharth Saraf",
"Michael L. Seltzer"
] | https://www.isca-archive.org/interspeech_2021/le21_interspeech.html | https://www.isca-archive.org/interspeech_2021/le21_interspeech.pdf | 10.21437/Interspeech.2021-1566 | 1772-1776 | @inproceedings{le21_interspeech,
title = {{Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion}},
author = {Duc Le and Mahaveer Jain and Gil Keren and Suyoun Kim and Yangyang Shi and Jay Mahadeokar and Julian Chan and Yuan Shangguan and Christian Fuegen and ... | How to leverage dynamic contextual information in end-to-end speech
recognition has remained an active research area. Previous solutions
to this problem were either designed for specialized use cases that
did not generalize well to open-domain scenarios, did not scale to
large biasing lists, or underperformed on rare l... | 2104.02194 | title_snapshot |
sainath21_interspeech | An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling | [
"Tara N. Sainath",
"Yanzhang He",
"Arun Narayanan",
"Rami Botros",
"Ruoming Pang",
"David Rybach",
"Cyril Allauzen",
"Ehsan Variani",
"James Qin",
"Quoc-Nam Le-The",
"Shuo-Yiin Chang",
"Bo Li",
"Anmol Gulati",
"Jiahui Yu",
"Chung-Cheng Chiu",
"Diamantino Caseiro",
"Wei Li",
"Qiao L... | https://www.isca-archive.org/interspeech_2021/sainath21_interspeech.html | https://www.isca-archive.org/interspeech_2021/sainath21_interspeech.pdf | 10.21437/Interspeech.2021-206 | 1777-1781 | @inproceedings{sainath21_interspeech,
title = {{An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling}},
author = {Tara N. Sainath and Yanzhang He and Arun Narayanan and Rami Botros and Ruoming Pang and David Rybach and Cyril Allauzen and Ehsan Variani and Ja... | On-device end-to-end (E2E) models have shown improvements over a conventional
model on Search test sets in both quality, as measured by Word Error
Rate (WER) [1], and latency [2], measured by the time the result is
finalized after the user stops speaking. However, the E2E model is
trained on a small fraction of audio-t... | null | null |
lu21_interspeech | Streaming Multi-Talker Speech Recognition with Joint Speaker Identification | [
"Liang Lu",
"Naoyuki Kanda",
"Jinyu Li",
"Yifan Gong"
] | https://www.isca-archive.org/interspeech_2021/lu21_interspeech.html | https://www.isca-archive.org/interspeech_2021/lu21_interspeech.pdf | 10.21437/Interspeech.2021-207 | 1782-1786 | @inproceedings{lu21_interspeech,
title = {{Streaming Multi-Talker Speech Recognition with Joint Speaker Identification}},
author = {Liang Lu and Naoyuki Kanda and Jinyu Li and Yifan Gong},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1782--1786},
doi = {10.21437/Interspeec... | In multi-talker scenarios such as meetings and conversations, speech
processing systems are usually required to transcribe the audio as
well as identify the speakers for downstream applications. Since overlapped
speech is common in this case, conventional approaches usually address
this problem in a cascaded fashion th... | 2104.02109 | title_snapshot |
moriya21_interspeech | Streaming End-to-End Speech Recognition for Hybrid RNN-T/Attention Architecture | [
"Takafumi Moriya",
"Tomohiro Tanaka",
"Takanori Ashihara",
"Tsubasa Ochiai",
"Hiroshi Sato",
"Atsushi Ando",
"Ryo Masumura",
"Marc Delcroix",
"Taichi Asami"
] | https://www.isca-archive.org/interspeech_2021/moriya21_interspeech.html | https://www.isca-archive.org/interspeech_2021/moriya21_interspeech.pdf | 10.21437/Interspeech.2021-437 | 1787-1791 | @inproceedings{moriya21_interspeech,
title = {{Streaming End-to-End Speech Recognition for Hybrid RNN-T/Attention Architecture}},
author = {Takafumi Moriya and Tomohiro Tanaka and Takanori Ashihara and Tsubasa Ochiai and Hiroshi Sato and Atsushi Ando and Ryo Masumura and Marc Delcroix and Taichi Asami},
ye... | We present a novel architecture with its decoding approach for improving
recurrent neural network-transducer (RNN-T) performance. RNN-T is promising
for building time-synchronous automatic speech recognition (ASR) systems
and thus enhancing streaming ASR applications. We note that encoder-decoder-based
sequence-to-sequ... | null | null |
schwarz21_interspeech | Improving RNN-T ASR Accuracy Using Context Audio | [
"Andreas Schwarz",
"Ilya Sklyar",
"Simon Wiesler"
] | https://www.isca-archive.org/interspeech_2021/schwarz21_interspeech.html | https://www.isca-archive.org/interspeech_2021/schwarz21_interspeech.pdf | 10.21437/Interspeech.2021-542 | 1792-1796 | @inproceedings{schwarz21_interspeech,
title = {{Improving RNN-T ASR Accuracy Using Context Audio}},
author = {Andreas Schwarz and Ilya Sklyar and Simon Wiesler},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1792--1796},
doi = {10.21437/Interspeech.2021-542},
issn = ... | We present a training scheme for streaming automatic speech recognition
(ASR) based on recurrent neural network transducers (RNN-T) which allows
the encoder network to learn to exploit context audio from a stream,
using segmented or partially labeled sequences of the stream during
training. We show that the use of cont... | 2011.10538 | title_snapshot |
huang21e_interspeech | HMM-Free Encoder Pre-Training for Streaming RNN Transducer | [
"Lu Huang",
"Jingyu Sun",
"Yufeng Tang",
"Junfeng Hou",
"Jinkun Chen",
"Jun Zhang",
"Zejun Ma"
] | https://www.isca-archive.org/interspeech_2021/huang21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/huang21e_interspeech.pdf | 10.21437/Interspeech.2021-586 | 1797-1801 | @inproceedings{huang21e_interspeech,
title = {{HMM-Free Encoder Pre-Training for Streaming RNN Transducer}},
author = {Lu Huang and Jingyu Sun and Yufeng Tang and Junfeng Hou and Jinkun Chen and Jun Zhang and Zejun Ma},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1797--1801},
d... | This work describes an encoder pre-training procedure using frame-wise
label to improve the training of streaming recurrent neural network
transducer (RNN-T) model. Streaming RNN-T trained from scratch usually
performs worse than non-streaming RNN-T. Although it is common to address
this issue through pre-training comp... | 2104.10764 | title_snapshot |
cui21b_interspeech | Reducing Exposure Bias in Training Recurrent Neural Network Transducers | [
"Xiaodong Cui",
"Brian Kingsbury",
"George Saon",
"David Haws",
"Zoltán Tüske"
] | https://www.isca-archive.org/interspeech_2021/cui21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/cui21b_interspeech.pdf | 10.21437/Interspeech.2021-587 | 1802-1806 | @inproceedings{cui21b_interspeech,
title = {{Reducing Exposure Bias in Training Recurrent Neural Network Transducers}},
author = {Xiaodong Cui and Brian Kingsbury and George Saon and David Haws and Zoltán Tüske},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1802--1806},
doi ... | When recurrent neural network transducers (RNNTs) are trained using
the typical maximum likelihood criterion, the prediction network is
trained only on ground truth label sequences. This leads to a mismatch
during inference, known as exposure bias, when the model must deal
with label sequences containing errors. In thi... | 2108.10803 | title_snapshot |
doutre21_interspeech | Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models | [
"Thibault Doutre",
"Wei Han",
"Chung-Cheng Chiu",
"Ruoming Pang",
"Olivier Siohan",
"Liangliang Cao"
] | https://www.isca-archive.org/interspeech_2021/doutre21_interspeech.html | https://www.isca-archive.org/interspeech_2021/doutre21_interspeech.pdf | 10.21437/Interspeech.2021-637 | 1807-1811 | @inproceedings{doutre21_interspeech,
title = {{Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models}},
author = {Thibault Doutre and Wei Han and Chung-Cheng Chiu and Ruoming Pang and Olivier Siohan and Liangliang Cao},
year = {2021},
bookti... | Streaming end-to-end automatic speech recognition (ASR) systems are
widely used in everyday applications that require transcribing speech
to text in real-time. Their minimal latency makes them suitable for
such tasks. Unlike their non-streaming counterparts, streaming models
are constrained to be causal with no future ... | 2104.14346 | title_judge |
audhkhasi21_interspeech | Mixture Model Attention: Flexible Streaming and Non-Streaming Automatic Speech Recognition | [
"Kartik Audhkhasi",
"Tongzhou Chen",
"Bhuvana Ramabhadran",
"Pedro J. Moreno"
] | https://www.isca-archive.org/interspeech_2021/audhkhasi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/audhkhasi21_interspeech.pdf | 10.21437/Interspeech.2021-720 | 1812-1816 | @inproceedings{audhkhasi21_interspeech,
title = {{Mixture Model Attention: Flexible Streaming and Non-Streaming Automatic Speech Recognition}},
author = {Kartik Audhkhasi and Tongzhou Chen and Bhuvana Ramabhadran and Pedro J. Moreno},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1... | Streaming automatic speech recognition (ASR) hypothesizes words as
soon as the input audio arrives, whereas non-streaming ASR can potentially
wait for the completion of the entire utterance to hypothesize words.
Streaming and non-streaming ASR systems have typically used different
acoustic encoders. Recent work has att... | null | null |
inaguma21_interspeech | StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR | [
"Hirofumi Inaguma",
"Tatsuya Kawahara"
] | https://www.isca-archive.org/interspeech_2021/inaguma21_interspeech.html | https://www.isca-archive.org/interspeech_2021/inaguma21_interspeech.pdf | 10.21437/Interspeech.2021-1110 | 1817-1821 | @inproceedings{inaguma21_interspeech,
title = {{StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR}},
author = {Hirofumi Inaguma and Tatsuya Kawahara},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1817--1821},
doi ... | While attention-based encoder-decoder (AED) models have been successfully
extended to the online variants for streaming automatic speech recognition
(ASR), such as monotonic chunkwise attention (MoChA), the models still
have a large label emission latency because of the unconstrained end-to-end
training objective. Prev... | 2107.00635 | title_snapshot |
moritz21_interspeech | Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition | [
"Niko Moritz",
"Takaaki Hori",
"Jonathan Le Roux"
] | https://www.isca-archive.org/interspeech_2021/moritz21_interspeech.html | https://www.isca-archive.org/interspeech_2021/moritz21_interspeech.pdf | 10.21437/Interspeech.2021-1693 | 1822-1826 | @inproceedings{moritz21_interspeech,
title = {{Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition}},
author = {Niko Moritz and Takaaki Hori and Jonathan Le Roux},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1822--1826},
doi = {10.21437/Inter... | Attention-based end-to-end automatic speech recognition (ASR) systems
have recently demonstrated state-of-the-art results for numerous tasks.
However, the application of self-attention and attention-based encoder-decoder
models remains challenging for streaming ASR, where each word must
be recognized shortly after it w... | 2107.01269 | title_snapshot |
kim21d_interspeech | Multi-Mode Transformer Transducer with Stochastic Future Context | [
"Kwangyoun Kim",
"Felix Wu",
"Prashant Sridhar",
"Kyu J. Han",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2021/kim21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/kim21d_interspeech.pdf | 10.21437/Interspeech.2021-1953 | 1827-1831 | @inproceedings{kim21d_interspeech,
title = {{Multi-Mode Transformer Transducer with Stochastic Future Context}},
author = {Kwangyoun Kim and Felix Wu and Prashant Sridhar and Kyu J. Han and Shinji Watanabe},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1827--1831},
doi = {... | Automatic speech recognition (ASR) models make fewer errors when more
surrounding speech information is presented as context. Unfortunately,
acquiring a larger future context leads to higher latency. There exists
an inevitable trade-off between speed and accuracy. Naïvely, to
fit different latency requirements, people ... | 2106.09760 | title_snapshot |
ren21_interspeech | A Causal U-Net Based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement | [
"Xinlei Ren",
"Xu Zhang",
"Lianwu Chen",
"Xiguang Zheng",
"Chen Zhang",
"Liang Guo",
"Bing Yu"
] | https://www.isca-archive.org/interspeech_2021/ren21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ren21_interspeech.pdf | 10.21437/Interspeech.2021-1457 | 1832-1836 | @inproceedings{ren21_interspeech,
title = {{A Causal U-Net Based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement}},
author = {Xinlei Ren and Xu Zhang and Lianwu Chen and Xiguang Zheng and Chen Zhang and Liang Guo and Bing Yu},
year = {2021},
booktitle = {{Interspeech 2021}}... | People are meeting through video conferencing more often. While single
channel speech enhancement techniques are useful for the individual
participants, the speech quality will be significantly degraded in
large meeting rooms where the far-field and reverberate conditions
are introduced. Approaches based on microphone ... | null | null |
zhu21d_interspeech | A Partitioned-Block Frequency-Domain Adaptive Kalman Filter for Stereophonic Acoustic Echo Cancellation | [
"Rui Zhu",
"Feiran Yang",
"Yuepeng Li",
"Shidong Shang"
] | https://www.isca-archive.org/interspeech_2021/zhu21d_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhu21d_interspeech.pdf | 10.21437/Interspeech.2021-135 | 1837-1841 | @inproceedings{zhu21d_interspeech,
title = {{A Partitioned-Block Frequency-Domain Adaptive Kalman Filter for Stereophonic Acoustic Echo Cancellation}},
author = {Rui Zhu and Feiran Yang and Yuepeng Li and Shidong Shang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1837--1841},
... | The rapid development of online video conferencing systems has caused
renewed attention to the multi-channel recording and playback systems.
Stereophonic acoustic echo cancellation (SAEC) is the key issue of
this systems. This paper proposes an optimally designed partitioned-block
frequency-domain Kalman filter (PBFDKF... | null | null |
wang21p_interspeech | Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model | [
"Taihui Wang",
"Feiran Yang",
"Rui Zhu",
"Jun Yang"
] | https://www.isca-archive.org/interspeech_2021/wang21p_interspeech.html | https://www.isca-archive.org/interspeech_2021/wang21p_interspeech.pdf | 10.21437/Interspeech.2021-146 | 1842-1846 | @inproceedings{wang21p_interspeech,
title = {{Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model}},
author = {Taihui Wang and Feiran Yang and Rui Zhu and Jun Yang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1842--1846}... | Online independent vector analysis (IVA) based on auxiliary technology
is effective to separate audio source in real time. However, the separated
signal may contain residual interference noise because the source model
of IVA lacks flexibility and cannot treat the specific harmonic structures
of sources. This paper pres... | null | null |
han21b_interspeech | Improving Channel Decorrelation for Multi-Channel Target Speech Extraction | [
"Jiangyu Han",
"Wei Rao",
"Yannan Wang",
"Yanhua Long"
] | https://www.isca-archive.org/interspeech_2021/han21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/han21b_interspeech.pdf | 10.21437/Interspeech.2021-298 | 1847-1851 | @inproceedings{han21b_interspeech,
title = {{Improving Channel Decorrelation for Multi-Channel Target Speech Extraction}},
author = {Jiangyu Han and Wei Rao and Yannan Wang and Yanhua Long},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1847--1851},
doi = {10.21437/Interspe... | Target speech extraction has attracted widespread attention. When microphone
arrays are available, the additional spatial information can be helpful
in extracting the target speech. We have recently proposed a channel
decorrelation (CD) mechanism to extract the inter-channel differential
information to enhance the refe... | 2106.03113 | title_snapshot |
liu21f_interspeech | Inplace Gated Convolutional Recurrent Neural Network for Dual-Channel Speech Enhancement | [
"Jinjiang Liu",
"Xueliang Zhang"
] | https://www.isca-archive.org/interspeech_2021/liu21f_interspeech.html | https://www.isca-archive.org/interspeech_2021/liu21f_interspeech.pdf | 10.21437/Interspeech.2021-899 | 1852-1856 | @inproceedings{liu21f_interspeech,
title = {{Inplace Gated Convolutional Recurrent Neural Network for Dual-Channel Speech Enhancement}},
author = {Jinjiang Liu and Xueliang Zhang},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1852--1856},
doi = {10.21437/Interspeech.2021-8... | For dual-channel speech enhancement, it is a promising idea to design
an end-to-end model based on the traditional array signal processing
guideline and the manifold space of multi-channel signals. We found
that the idea above can be effectively implemented by the classical
convolutional recurrent neural networks (CRN)... | 2107.11968 | title_snapshot |
raj21_interspeech | SRIB-LEAP Submission to Far-Field Multi-Channel Speech Enhancement Challenge for Video Conferencing | [
"R.G. Prithvi Raj",
"Rohit Kumar",
"M.K. Jayesh",
"Anurenjan Purushothaman",
"Sriram Ganapathy",
"M.A. Basha Shaik"
] | https://www.isca-archive.org/interspeech_2021/raj21_interspeech.html | https://www.isca-archive.org/interspeech_2021/raj21_interspeech.pdf | 10.21437/Interspeech.2021-1111 | 1857-1861 | @inproceedings{raj21_interspeech,
title = {{SRIB-LEAP Submission to Far-Field Multi-Channel Speech Enhancement Challenge for Video Conferencing}},
author = {R.G. Prithvi Raj and Rohit Kumar and M.K. Jayesh and Anurenjan Purushothaman and Sriram Ganapathy and M.A. Basha Shaik},
year = {2021},
booktit... | This paper presents the details of the SRIB-LEAP submission to the
ConferencingSpeech challenge 2021. The challenge involved the task
of multi-channel speech enhancement to improve the quality of far field
speech from microphone arrays in a video conferencing room. We propose
a two stage method involving a beamformer f... | 2106.12763 | title_snapshot |
xue21_interspeech | Real-Time Multi-Channel Speech Enhancement Based on Neural Network Masking with Attention Model | [
"Cheng Xue",
"Weilong Huang",
"Weiguang Chen",
"Jinwei Feng"
] | https://www.isca-archive.org/interspeech_2021/xue21_interspeech.html | https://www.isca-archive.org/interspeech_2021/xue21_interspeech.pdf | 10.21437/Interspeech.2021-2266 | 1862-1866 | @inproceedings{xue21_interspeech,
title = {{Real-Time Multi-Channel Speech Enhancement Based on Neural Network Masking with Attention Model}},
author = {Cheng Xue and Weilong Huang and Weiguang Chen and Jinwei Feng},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1862--1866},
doi ... | In this paper, we propose a real-time multi-channel speech enhancement
method for noise reduction and dereverberation in far-field environments.
The proposed method consists of two components: differential beamforming
and mask estimation network. The differential beamforming is employed
to suppress the interference sig... | null | null |
fohr21_interspeech | BERT-Based Semantic Model for Rescoring N-Best Speech Recognition List | [
"Dominique Fohr",
"Irina Illina"
] | https://www.isca-archive.org/interspeech_2021/fohr21_interspeech.html | https://www.isca-archive.org/interspeech_2021/fohr21_interspeech.pdf | 10.21437/Interspeech.2021-313 | 1867-1871 | @inproceedings{fohr21_interspeech,
title = {{BERT-Based Semantic Model for Rescoring N-Best Speech Recognition List}},
author = {Dominique Fohr and Irina Illina},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1867--1871},
doi = {10.21437/Interspeech.2021-313},
issn =... | This work aims to improve automatic speech recognition (ASR) by modeling
long-term semantic relations. We propose to perform this through rescoring
the ASR N-best hypotheses list. To achieve this, we propose two deep
neural network (DNN) models and combine semantic, acoustic, and linguistic
information. Our DNN rescori... | 2011.00975 | title_judge |
benes21_interspeech | Text Augmentation for Language Models in High Error Recognition Scenario | [
"Karel Beneš",
"Lukáš Burget"
] | https://www.isca-archive.org/interspeech_2021/benes21_interspeech.html | https://www.isca-archive.org/interspeech_2021/benes21_interspeech.pdf | 10.21437/Interspeech.2021-627 | 1872-1876 | @inproceedings{benes21_interspeech,
title = {{Text Augmentation for Language Models in High Error Recognition Scenario}},
author = {Karel Beneš and Lukáš Burget},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1872--1876},
doi = {10.21437/Interspeech.2021-627},
issn =... | In this paper, we explore several data augmentation strategies for
training of language models for speech recognition. We compare augmentation
based on global error statistics with one based on unigram statistics
of ASR errors and with label-smoothing and its sampled variant. Additionally,
we investigate the stability ... | 2011.06056 | title_snapshot |
gao21b_interspeech | On Sampling-Based Training Criteria for Neural Language Modeling | [
"Yingbo Gao",
"David Thulke",
"Alexander Gerstenberger",
"Khoa Viet Tran",
"Ralf Schlüter",
"Hermann Ney"
] | https://www.isca-archive.org/interspeech_2021/gao21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/gao21b_interspeech.pdf | 10.21437/Interspeech.2021-1067 | 1877-1881 | @inproceedings{gao21b_interspeech,
title = {{On Sampling-Based Training Criteria for Neural Language Modeling}},
author = {Yingbo Gao and David Thulke and Alexander Gerstenberger and Khoa Viet Tran and Ralf Schlüter and Hermann Ney},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {18... | As the vocabulary size of modern word-based language models becomes
ever larger, many sampling-based training criteria are proposed and
investigated. The essence of these sampling methods is that the softmax-related
traversal over the entire vocabulary can be simplified, giving speedups
compared to the baseline. A prob... | 2104.10507 | title_snapshot |
pylkkonen21_interspeech | Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network | [
"Janne Pylkkönen",
"Antti Ukkonen",
"Juho Kilpikoski",
"Samu Tamminen",
"Hannes Heikinheimo"
] | https://www.isca-archive.org/interspeech_2021/pylkkonen21_interspeech.html | https://www.isca-archive.org/interspeech_2021/pylkkonen21_interspeech.pdf | 10.21437/Interspeech.2021-1191 | 1882-1886 | @inproceedings{pylkkonen21_interspeech,
title = {{Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network}},
author = {Janne Pylkkönen and Antti Ukkonen and Juho Kilpikoski and Samu Tamminen and Hannes Heikinheimo},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1882--... | Adaption of end-to-end speech recognition systems to new tasks is known
to be challenging. A number of solutions have been proposed which apply
external language models with various fusion methods, possibly with
a combination of two-pass decoding. Also TTS systems have been used
to generate adaptation data for the end-... | 2104.11127 | title_snapshot |
cieri21_interspeech | Using Games to Augment Corpora for Language Recognition and Confusability | [
"Christopher Cieri",
"James Fiumara",
"Jonathan Wright"
] | https://www.isca-archive.org/interspeech_2021/cieri21_interspeech.html | https://www.isca-archive.org/interspeech_2021/cieri21_interspeech.pdf | 10.21437/Interspeech.2021-1611 | 1887-1891 | @inproceedings{cieri21_interspeech,
title = {{Using Games to Augment Corpora for Language Recognition and Confusability}},
author = {Christopher Cieri and James Fiumara and Jonathan Wright},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1887--1891},
doi = {10.21437/Interspe... | We present a Game with a Purpose to elicit judgements of the language
spoken in short audio clips of broadcast and conversational telephone
speech, the resulting corpus and their potential use in research on
language recognition and confusability. | null | null |
fenu21_interspeech | Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition | [
"Gianni Fenu",
"Mirko Marras",
"Giacomo Medda",
"Giacomo Meloni"
] | https://www.isca-archive.org/interspeech_2021/fenu21_interspeech.html | https://www.isca-archive.org/interspeech_2021/fenu21_interspeech.pdf | 10.21437/Interspeech.2021-1857 | 1892-1896 | @inproceedings{fenu21_interspeech,
title = {{Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition}},
author = {Gianni Fenu and Mirko Marras and Giacomo Medda and Giacomo Meloni},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1892--1896},
... | Speaker recognition systems are playing a key role in modern online
applications. Though the susceptibility of these systems to discrimination
according to group fairness metrics has been recently studied, their
assessment has been mainly focused on the difference in equal error
rate across groups, not accounting for o... | null | null |
zhang21m_interspeech | Knowledge Distillation from Multi-Modality to Single-Modality for Person Verification | [
"Leying Zhang",
"Zhengyang Chen",
"Yanmin Qian"
] | https://www.isca-archive.org/interspeech_2021/zhang21m_interspeech.html | https://www.isca-archive.org/interspeech_2021/zhang21m_interspeech.pdf | 10.21437/Interspeech.2021-2119 | 1897-1901 | @inproceedings{zhang21m_interspeech,
title = {{Knowledge Distillation from Multi-Modality to Single-Modality for Person Verification}},
author = {Leying Zhang and Zhengyang Chen and Yanmin Qian},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1897--1901},
doi = {10.21437/Int... | Voice and face are two important biometric characteristics that can
be used for person identity verification. Previous works have proved
the strong complementarity between audio and visual modalities in person
verification tasks that multi-modality system can achieve significant
performance improvement compared to sing... | null | null |
noe21_interspeech | Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation | [
"Paul-Gauthier Noé",
"Mohammad Mohammadamini",
"Driss Matrouf",
"Titouan Parcollet",
"Andreas Nautsch",
"Jean-François Bonastre"
] | https://www.isca-archive.org/interspeech_2021/noe21_interspeech.html | https://www.isca-archive.org/interspeech_2021/noe21_interspeech.pdf | 10.21437/Interspeech.2021-1712 | 1902-1906 | @inproceedings{noe21_interspeech,
title = {{Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation}},
author = {Paul-Gauthier Noé and Mohammad Mohammadamini and Driss Matrouf and Titouan Parcollet and Andreas Nautsch and Jean-François Bonastre},
year = {2021},
... | In speech technologies, speaker’s voice representation is used
in many applications such as speech recognition, voice conversion,
speech synthesis and, obviously, user authentication. Modern vocal
representations of the speaker are based on neural embeddings. In addition
to the targeted information, these representatio... | 2012.04454 | title_snapshot |
romana21_interspeech | Automatically Detecting Errors and Disfluencies in Read Speech to Predict Cognitive Impairment in People with Parkinson’s Disease | [
"Amrit Romana",
"John Bandon",
"Matthew Perez",
"Stephanie Gutierrez",
"Richard Richter",
"Angela Roberts",
"Emily Mower Provost"
] | https://www.isca-archive.org/interspeech_2021/romana21_interspeech.html | https://www.isca-archive.org/interspeech_2021/romana21_interspeech.pdf | 10.21437/Interspeech.2021-1694 | 1907-1911 | @inproceedings{romana21_interspeech,
title = {{Automatically Detecting Errors and Disfluencies in Read Speech to Predict Cognitive Impairment in People with Parkinson’s Disease}},
author = {Amrit Romana and John Bandon and Matthew Perez and Stephanie Gutierrez and Richard Richter and Angela Roberts and Emily... | Parkinson’s disease (PD) is a central nervous system disorder
that causes motor impairment. Recent studies have found that people
with PD also often suffer from cognitive impairment (CI). While a large
body of work has shown that speech can be used to predict motor symptom
severity in people with PD, much less has focu... | null | null |
vaysse21_interspeech | Automatic Extraction of Speech Rhythm Descriptors for Speech Intelligibility Assessment in the Context of Head and Neck Cancers | [
"Robin Vaysse",
"Jérôme Farinas",
"Corine Astésano",
"Régine André-Obrecht"
] | https://www.isca-archive.org/interspeech_2021/vaysse21_interspeech.html | https://www.isca-archive.org/interspeech_2021/vaysse21_interspeech.pdf | 10.21437/Interspeech.2021-1736 | 1912-1916 | @inproceedings{vaysse21_interspeech,
title = {{Automatic Extraction of Speech Rhythm Descriptors for Speech Intelligibility Assessment in the Context of Head and Neck Cancers}},
author = {Robin Vaysse and Jérôme Farinas and Corine Astésano and Régine André-Obrecht},
year = {2021},
booktitle = {{Inte... | The temporal dimension of speech acoustics is rarely taken into account
in automatic models for Speech Intelligibility evaluation, although
the rhythmic recurrence of phonemes, syllables and prosodic groups
are allegedly good predictors of speech intelligibility. The present
study aims at unravelling those automatic pa... | null | null |
qi21b_interspeech | Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-Encoders | [
"Jinzi Qi",
"Hugo Van hamme"
] | https://www.isca-archive.org/interspeech_2021/qi21b_interspeech.html | https://www.isca-archive.org/interspeech_2021/qi21b_interspeech.pdf | 10.21437/Interspeech.2021-2180 | 1917-1921 | @inproceedings{qi21b_interspeech,
title = {{Speech Disorder Classification Using Extended Factorized Hierarchical Variational Auto-Encoders}},
author = {Jinzi Qi and Hugo {Van hamme}},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1917--1921},
doi = {10.21437/Interspeech.20... | Objective speech disorder classification for speakers with communication
difficulty is desirable for diagnosis and administering therapy. With
the current state of speech technology, it is evident to propose neural
networks for this application. But neural network model training is
hampered by a lack of labeled disorde... | 2106.07337 | title_snapshot |
mathad21_interspeech | The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation | [
"Vikram C. Mathad",
"Tristan J. Mahr",
"Nancy Scherer",
"Kathy Chapman",
"Katherine C. Hustad",
"Julie Liss",
"Visar Berisha"
] | https://www.isca-archive.org/interspeech_2021/mathad21_interspeech.html | https://www.isca-archive.org/interspeech_2021/mathad21_interspeech.pdf | 10.21437/Interspeech.2021-1403 | 1922-1926 | @inproceedings{mathad21_interspeech,
title = {{The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation}},
author = {Vikram C. Mathad and Tristan J. Mahr and Nancy Scherer and Kathy Chapman and Katherine C. Hustad and Julie Liss and Visar Berisha},
year = {2021},
booktitle = {{Int... | Automatic evaluation of phone-level pronunciation scores typically
involves two stages: (1) automatic phonetic segmentation via text-constrained
phoneme alignment and (2) quantification of acoustic deviation for
each phoneme-level relative to a database of correctly-pronounced speech.
It’s clear that the second stage d... | null | null |
villatorotello21_interspeech | Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition | [
"Esaú Villatoro-Tello",
"S. Pavankumar Dubagunta",
"Julian Fritsch",
"Gabriela Ramírez-de-la-Rosa",
"Petr Motlicek",
"Mathew Magimai-Doss"
] | https://www.isca-archive.org/interspeech_2021/villatorotello21_interspeech.html | https://www.isca-archive.org/interspeech_2021/villatorotello21_interspeech.pdf | 10.21437/Interspeech.2021-1288 | 1927-1931 | @inproceedings{villatorotello21_interspeech,
title = {{Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition}},
author = {Esaú Villatoro-Tello and S. Pavankumar Dubagunta and Julian Fritsch and Gabriela Ramírez-de-la-Rosa and Petr Motlicek and M... | Mental disorders, e.g. depression and dementia, are categorized as
priority conditions according to the World Health Organization (WHO).
When diagnosing, psychologists employ structured questionnaires/interviews,
and different cognitive tests. Although accurate, there is an increasing
necessity of developing digital me... | null | null |
shandiz21_interspeech | Neural Speaker Embeddings for Ultrasound-Based Silent Speech Interfaces | [
"Amin Honarmandi Shandiz",
"László Tóth",
"Gábor Gosztolya",
"Alexandra Markó",
"Tamás Gábor Csapó"
] | https://www.isca-archive.org/interspeech_2021/shandiz21_interspeech.html | https://www.isca-archive.org/interspeech_2021/shandiz21_interspeech.pdf | 10.21437/Interspeech.2021-1466 | 1932-1936 | @inproceedings{shandiz21_interspeech,
title = {{Neural Speaker Embeddings for Ultrasound-Based Silent Speech Interfaces}},
author = {Amin Honarmandi Shandiz and László Tóth and Gábor Gosztolya and Alexandra Markó and Tamás Gábor Csapó},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = ... | Articulatory-to-acoustic mapping seeks to reconstruct speech from a
recording of the articulatory movements, for example, an ultrasound
video. Just like speech signals, these recordings represent not only
the linguistic content, but are also highly specific to the actual
speaker. Hence, due to the lack of multi-speaker... | 2106.04552 | title_snapshot |
lamba21_interspeech | Cross-Modal Learning for Audio-Visual Video Parsing | [
"Jatin Lamba",
"Abhishek",
"Jayaprakash Akula",
"Rishabh Dabral",
"Preethi Jyothi",
"Ganesh Ramakrishnan"
] | https://www.isca-archive.org/interspeech_2021/lamba21_interspeech.html | https://www.isca-archive.org/interspeech_2021/lamba21_interspeech.pdf | 10.21437/Interspeech.2021-2135 | 1937-1941 | @inproceedings{lamba21_interspeech,
title = {{Cross-Modal Learning for Audio-Visual Video Parsing}},
author = {Jatin Lamba and Abhishek and Jayaprakash Akula and Rishabh Dabral and Preethi Jyothi and Ganesh Ramakrishnan},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1937--1941},
... | In this paper, we present a novel approach to the audio-visual video
parsing (AVVP) task that demarcates events from a video separately
for audio and visual modalities. The proposed parsing approach simultaneously
detects the temporal boundaries in terms of start and end times of
such events. We show how AVVP can benef... | 2104.04598 | title_snapshot |
cook21_interspeech | A Psychology-Driven Computational Analysis of Political Interviews | [
"Darren Cook",
"Miri Zilka",
"Simon Maskell",
"Laurence Alison"
] | https://www.isca-archive.org/interspeech_2021/cook21_interspeech.html | https://www.isca-archive.org/interspeech_2021/cook21_interspeech.pdf | 10.21437/Interspeech.2021-2249 | 1942-1946 | @inproceedings{cook21_interspeech,
title = {{A Psychology-Driven Computational Analysis of Political Interviews}},
author = {Darren Cook and Miri Zilka and Simon Maskell and Laurence Alison},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1942--1946},
doi = {10.21437/Intersp... | Can an interviewer influence the cooperativeness of an interviewee?
The role of an interviewer in actualising a successful interview is
an active field of social psychological research. A large-scale analysis
of interviews, however, typically involves time-exorbitant manual tasks
and considerable human effort. Despite ... | null | null |
santoso21_interspeech | Speech Emotion Recognition Based on Attention Weight Correction Using Word-Level Confidence Measure | [
"Jennifer Santoso",
"Takeshi Yamada",
"Shoji Makino",
"Kenkichi Ishizuka",
"Takekatsu Hiramura"
] | https://www.isca-archive.org/interspeech_2021/santoso21_interspeech.html | https://www.isca-archive.org/interspeech_2021/santoso21_interspeech.pdf | 10.21437/Interspeech.2021-411 | 1947-1951 | @inproceedings{santoso21_interspeech,
title = {{Speech Emotion Recognition Based on Attention Weight Correction Using Word-Level Confidence Measure}},
author = {Jennifer Santoso and Takeshi Yamada and Shoji Makino and Kenkichi Ishizuka and Takekatsu Hiramura},
year = {2021},
booktitle = {{Interspeec... | Emotion recognition is essential for human behavior analysis and possible
through various inputs such as speech and images. However, in practical
situations, such as in call center analysis, the available information
is limited to speech. This leads to the study of speech emotion recognition
(SER). Considering the comp... | null | null |
silpachai21_interspeech | Effects of Voice Type and Task on L2 Learners’ Awareness of Pronunciation Errors | [
"Alif Silpachai",
"Ivana Rehman",
"Taylor Anne Barriuso",
"John Levis",
"Evgeny Chukharev-Hudilainen",
"Guanlong Zhao",
"Ricardo Gutierrez-Osuna"
] | https://www.isca-archive.org/interspeech_2021/silpachai21_interspeech.html | https://www.isca-archive.org/interspeech_2021/silpachai21_interspeech.pdf | 10.21437/Interspeech.2021-701 | 1952-1956 | @inproceedings{silpachai21_interspeech,
title = {{Effects of Voice Type and Task on L2 Learners’ Awareness of Pronunciation Errors}},
author = {Alif Silpachai and Ivana Rehman and Taylor Anne Barriuso and John Levis and Evgeny Chukharev-Hudilainen and Guanlong Zhao and Ricardo Gutierrez-Osuna},
year =... | Research suggests learners may improve their second language (L2) pronunciation
by imitating voices with similar acoustic profiles. However, previously
reported improvements have been in suprasegmentals (prosodic features
such as intonation). It remains unclear if voice similarity applies
to L2 segmentals (consonants a... | null | null |
menshikova21_interspeech | Lexical Entrainment and Intra-Speaker Variability in Cooperative Dialogues | [
"Alla Menshikova",
"Daniil Kocharov",
"Tatiana Kachkovskaia"
] | https://www.isca-archive.org/interspeech_2021/menshikova21_interspeech.html | https://www.isca-archive.org/interspeech_2021/menshikova21_interspeech.pdf | 10.21437/Interspeech.2021-1441 | 1957-1961 | @inproceedings{menshikova21_interspeech,
title = {{Lexical Entrainment and Intra-Speaker Variability in Cooperative Dialogues}},
author = {Alla Menshikova and Daniil Kocharov and Tatiana Kachkovskaia},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1957--1961},
doi = {10.214... | In dialogues, intra-speaker variability is often explained by the relationship
between interlocutors. A person may speak differently with a friend
and a stranger or depending on the interlocutor’s gender or age
— in all these cases we expect speech entrainment, but the degree
of entrainment may vary. In this research, ... | null | null |
nasreen21_interspeech | Detecting Alzheimer’s Disease Using Interactional and Acoustic Features from Spontaneous Speech | [
"Shamila Nasreen",
"Julian Hough",
"Matthew Purver"
] | https://www.isca-archive.org/interspeech_2021/nasreen21_interspeech.html | https://www.isca-archive.org/interspeech_2021/nasreen21_interspeech.pdf | 10.21437/Interspeech.2021-1526 | 1962-1966 | @inproceedings{nasreen21_interspeech,
title = {{Detecting Alzheimer’s Disease Using Interactional and Acoustic Features from Spontaneous Speech}},
author = {Shamila Nasreen and Julian Hough and Matthew Purver},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1962--1966},
doi ... | Alzheimer’s Disease (AD) is a form of Dementia that manifests
in cognitive decline including memory, language, and changes in behavior.
Speech data has proven valuable for inferring cognitive status, used
in many health assessment tasks, and can be easily elicited in natural
settings. Much work focuses on analysis usin... | null | null |
kothare21_interspeech | Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue Agent | [
"Hardik Kothare",
"Vikram Ramanarayanan",
"Oliver Roesler",
"Michael Neumann",
"Jackson Liscombe",
"William Burke",
"Andrew Cornish",
"Doug Habberstad",
"Alaa Sakallah",
"Sara Markuson",
"Seemran Kansara",
"Afik Faerman",
"Yasmine Bensidi-Slimane",
"Laura Fry",
"Saige Portera",
"David ... | https://www.isca-archive.org/interspeech_2021/kothare21_interspeech.html | https://www.isca-archive.org/interspeech_2021/kothare21_interspeech.pdf | 10.21437/Interspeech.2021-1796 | 1967-1971 | @inproceedings{kothare21_interspeech,
title = {{Investigating the Interplay Between Affective, Phonatory and Motoric Subsystems in Autism Spectrum Disorder Using a Multimodal Dialogue Agent}},
author = {Hardik Kothare and Vikram Ramanarayanan and Oliver Roesler and Michael Neumann and Jackson Liscombe and Wi... | We explore the utility of an on-demand multimodal conversational platform
in extracting speech and facial metrics in children with Autism Spectrum
Disorder (ASD). We investigate the extent to which these metrics correlate
with objective clinical measures, particularly as they pertain to the
interplay between the affect... | null | null |
ishi21_interspeech | Analysis of Eye Gaze Reasons and Gaze Aversions During Three-Party Conversations | [
"Carlos Toshinori Ishi",
"Taiken Shintani"
] | https://www.isca-archive.org/interspeech_2021/ishi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/ishi21_interspeech.pdf | 10.21437/Interspeech.2021-2134 | 1972-1976 | @inproceedings{ishi21_interspeech,
title = {{Analysis of Eye Gaze Reasons and Gaze Aversions During Three-Party Conversations}},
author = {Carlos Toshinori Ishi and Taiken Shintani},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1972--1976},
doi = {10.21437/Interspeech.2021... | The background of this study is the generation of natural gaze behaviors
in human-robot multimodal interaction. For that purpose, in this study
we analyzed gaze behaviors of multiple speakers in a dataset containing
three-party conversations, in terms of the reasons/intentions of their
gaze events. Analyses of the gaze... | null | null |
kim21e_interspeech | Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding | [
"Suyoun Kim",
"Abhinav Arora",
"Duc Le",
"Ching-Feng Yeh",
"Christian Fuegen",
"Ozlem Kalinli",
"Michael L. Seltzer"
] | https://www.isca-archive.org/interspeech_2021/kim21e_interspeech.html | https://www.isca-archive.org/interspeech_2021/kim21e_interspeech.pdf | 10.21437/Interspeech.2021-1929 | 1977-1981 | @inproceedings{kim21e_interspeech,
title = {{Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding}},
author = {Suyoun Kim and Abhinav Arora and Duc Le and Ching-Feng Yeh and Christian Fuegen and Ozlem Kalinli and Michael L. Seltzer},
year = {2021},
bookt... | Word Error Rate (WER) has been the predominant metric used to evaluate
the performance of automatic speech recognition (ASR) systems. However,
WER is sometimes not a good indicator for downstream Natural Language
Understanding (NLU) tasks, such as intent recognition, slot filling,
and semantic parsing in task-oriented ... | 2104.02138 | title_snapshot |
wang21q_interspeech | A Light-Weight Contextual Spelling Correction Model for Customizing Transducer-Based Speech Recognition Systems | [
"Xiaoqiang Wang",
"Yanqing Liu",
"Sheng Zhao",
"Jinyu Li"
] | https://www.isca-archive.org/interspeech_2021/wang21q_interspeech.html | https://www.isca-archive.org/interspeech_2021/wang21q_interspeech.pdf | 10.21437/Interspeech.2021-379 | 1982-1986 | @inproceedings{wang21q_interspeech,
title = {{A Light-Weight Contextual Spelling Correction Model for Customizing Transducer-Based Speech Recognition Systems}},
author = {Xiaoqiang Wang and Yanqing Liu and Sheng Zhao and Jinyu Li},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1982... | It’s challenging to customize transducer-based automatic speech
recognition (ASR) system with context information which is dynamic
and unavailable during model training. In this work, we introduce a
light-weight contextual spelling correction model to correct context-related
recognition errors in transducer-based ASR s... | 2108.07493 | title_snapshot |
shi21_interspeech | Incorporating External POS Tagger for Punctuation Restoration | [
"Ning Shi",
"Wei Wang",
"Boxin Wang",
"Jinfeng Li",
"Xiangyu Liu",
"Zhouhan Lin"
] | https://www.isca-archive.org/interspeech_2021/shi21_interspeech.html | https://www.isca-archive.org/interspeech_2021/shi21_interspeech.pdf | 10.21437/Interspeech.2021-1708 | 1987-1991 | @inproceedings{shi21_interspeech,
title = {{Incorporating External POS Tagger for Punctuation Restoration}},
author = {Ning Shi and Wei Wang and Boxin Wang and Jinfeng Li and Xiangyu Liu and Zhouhan Lin},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1987--1991},
doi = {10.... | Punctuation restoration is an important post-processing step in automatic
speech recognition. Among other kinds of external information, part-of-speech
(POS) taggers provide informative tags, suggesting each input token’s
syntactic role, which has been shown to be beneficial for the punctuation
restoration task. In thi... | 2106.06731 | title_snapshot |
papadourakis21_interspeech | Phonetically Induced Subwords for End-to-End Speech Recognition | [
"Vasileios Papadourakis",
"Markus Müller",
"Jing Liu",
"Athanasios Mouchtaris",
"Maurizio Omologo"
] | https://www.isca-archive.org/interspeech_2021/papadourakis21_interspeech.html | https://www.isca-archive.org/interspeech_2021/papadourakis21_interspeech.pdf | 10.21437/Interspeech.2021-1787 | 1992-1996 | @inproceedings{papadourakis21_interspeech,
title = {{Phonetically Induced Subwords for End-to-End Speech Recognition}},
author = {Vasileios Papadourakis and Markus Müller and Jing Liu and Athanasios Mouchtaris and Maurizio Omologo},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {199... | End-to-end automatic speech recognition systems map a sequence of acoustic
features to text. In modern systems, text is encoded to grapheme subwords
which are generated by methods designed for text processing tasks and
therefore don’t model or take advantage of the statistics of
the acoustic features. Here, we present ... | null | null |
mansfield21_interspeech | Revisiting Parity of Human vs. Machine Conversational Speech Transcription | [
"Courtney Mansfield",
"Sara Ng",
"Gina-Anne Levow",
"Richard A. Wright",
"Mari Ostendorf"
] | https://www.isca-archive.org/interspeech_2021/mansfield21_interspeech.html | https://www.isca-archive.org/interspeech_2021/mansfield21_interspeech.pdf | 10.21437/Interspeech.2021-1908 | 1997-2001 | @inproceedings{mansfield21_interspeech,
title = {{Revisiting Parity of Human vs. Machine Conversational Speech Transcription}},
author = {Courtney Mansfield and Sara Ng and Gina-Anne Levow and Richard A. Wright and Mari Ostendorf},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {1997... | A number of studies have compared human and machine transcription,
showing that automatic speech recognition (ASR) is approaching human
performance in some contexts. Most studies look at differences as measured
by the standard speech recognition scoring criterion: word error rate
(WER). This study looks at more fine-gr... | null | null |
huang21f_interspeech | Lookup-Table Recurrent Language Models for Long Tail Speech Recognition | [
"W. Ronny Huang",
"Tara N. Sainath",
"Cal Peyser",
"Shankar Kumar",
"David Rybach",
"Trevor Strohman"
] | https://www.isca-archive.org/interspeech_2021/huang21f_interspeech.html | https://www.isca-archive.org/interspeech_2021/huang21f_interspeech.pdf | 10.21437/Interspeech.2021-340 | 2002-2006 | @inproceedings{huang21f_interspeech,
title = {{Lookup-Table Recurrent Language Models for Long Tail Speech Recognition}},
author = {W. Ronny Huang and Tara N. Sainath and Cal Peyser and Shankar Kumar and David Rybach and Trevor Strohman},
year = {2021},
booktitle = {{Interspeech 2021}},
pages ... | We introduce Lookup-Table Language Models (LookupLM), a method for
scaling up the size of RNN language models with only a constant increase
in the floating point operations, by increasing the expressivity of
the embedding table. In particular, we instantiate an (additional)
embedding table which embeds the previous n-g... | 2104.04552 | title_snapshot |
andresferrer21_interspeech | Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems | [
"Jesús Andrés-Ferrer",
"Dario Albesano",
"Puming Zhan",
"Paul Vozila"
] | https://www.isca-archive.org/interspeech_2021/andresferrer21_interspeech.html | https://www.isca-archive.org/interspeech_2021/andresferrer21_interspeech.pdf | 10.21437/Interspeech.2021-443 | 2007-2011 | @inproceedings{andresferrer21_interspeech,
title = {{Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems}},
author = {Jesús Andrés-Ferrer and Dario Albesano and Puming Zhan and Paul Vozila},
year = {2021},
booktitle = {{Interspeech 2021}},
pages = {2007--201... | End-2-end (E2E) models have become increasingly popular in some ASR
tasks because of their performance and advantages. These E2E models
directly approximate the posterior distribution of tokens given the
acoustic inputs. Consequently, the E2E systems implicitly define a
language model (LM) over the output tokens, which... | 2206.14623 | title_snapshot |
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