PRiSM
Collection
13 items • Updated
id stringlengths 5 14 | audio audioduration (s) 0.22 4.77 | transcript stringlengths 1 28 |
|---|---|---|
animals1-10 | ɕi | |
animals1-100 | səkvɯ | |
animals1-102 | ʔut͡ɕʰiboɹa | |
animals1-103 | ʔut͡ɕʰiboɹa | |
animals1-104 | ʔut͡ɕʰiboɹa | |
animals1-106 | ɕikəda | |
animals1-107 | ɕikəda | |
animals1-108 | ɕikəda | |
animals1-11 | ɕi | |
animals1-111 | bɯə | |
animals1-112 | bɯə | |
animals1-114 | kɕiefɯ | |
animals1-115 | kɕiefɯ | |
animals1-116 | kɕiefɯ | |
animals1-118 | bor̥õ | |
animals1-119 | bor̥õ | |
animals1-12 | ɕi | |
animals1-120 | bor̥õ | |
animals1-122 | sɯentitã | |
animals1-123 | sɯentitã | |
animals1-125 | titã | |
animals1-126 | titã | |
animals1-127 | titã | |
animals1-129 | ɹɯtã | |
animals1-130 | ɹɯtã | |
animals1-131 | ɹɯtã | |
animals1-133 | ŋieprũ | |
animals1-134 | ŋieprũ | |
animals1-137 | ʔinti | |
animals1-138 | ʔinti | |
animals1-139 | ʔinti | |
animals1-14 | səly | |
animals1-141 | ʔintit͡sʰɯ | |
animals1-142 | ʔintit͡sʰɯ | |
animals1-143 | ʔintit͡sʰɯ | |
animals1-145 | ʔintit͡sy | |
animals1-146 | ʔintit͡sy | |
animals1-147 | ʔintit͡sy | |
animals1-149 | ʔintit͡sy kʰant͡sy | |
animals1-15 | səly | |
animals1-150 | ʔintit͡sy kʰant͡sy | |
animals1-151 | ʔintit͡sy kʰant͡sy | |
animals1-153 | kəbũ | |
animals1-154 | kəbũ | |
animals1-155 | kəbũ | |
animals1-157 | kəprije | |
animals1-158 | kəprije | |
animals1-159 | kəprije | |
animals1-16 | səly | |
animals1-161 | ɹãʔuə | |
animals1-162 | ɹãʔuə | |
animals1-163 | ɹãʔuə | |
animals1-165 | kʰl̥ɯə̃ | |
animals1-166 | kʰəlɯŋə̃ | |
animals1-167 | kʰəlɯŋə̃ | |
animals1-169 | kõsepvɯ | |
animals1-170 | kõsepvɯ | |
animals1-171 | kõsepvɯ | |
animals1-173 | nõsɯle | |
animals1-174 | nõsɯle | |
animals1-175 | nõsɯle | |
animals1-18 | mitʰyn | |
animals1-19 | mitʰyn | |
animals1-2 | ɕi | |
animals1-20 | mitʰyn | |
animals1-22 | baŋgoɹ | |
animals1-23 | baŋgoɹ | |
animals1-24 | baŋgoɹ | |
animals1-26 | səkue | |
animals1-27 | səkue | |
animals1-28 | səkue | |
animals1-3 | ɕi | |
animals1-30 | xu | |
animals1-31 | xu | |
animals1-32 | xu | |
animals1-34 | xupi | |
animals1-35 | xupi | |
animals1-36 | xupi | |
animals1-38 | xupvɯ | |
animals1-39 | xupvɯ | |
animals1-4 | ɕi | |
animals1-40 | xupvɯ | |
animals1-42 | xu ʔɯkətuəɕiəkət͡sa | |
animals1-43 | xu ʔɯkətuəɕiəkət͡sa | |
animals1-44 | xu ʔɯkətuəɕiəkət͡sa | |
animals1-46 | makʰəri | |
animals1-47 | makʰəri | |
animals1-48 | makʰəri | |
animals1-50 | jau | |
animals1-51 | jau | |
animals1-52 | jau | |
animals1-54 | ʔuə | |
animals1-55 | ʔuə | |
animals1-56 | ʔuə | |
animals1-58 | ʔuəpi | |
animals1-59 | ʔuəpi | |
animals1-6 | sɯ̃əɕi | |
animals1-60 | ʔuəpi | |
animals1-62 | ʔuəpvɯ | |
animals1-63 | ʔuəpvɯ |
If you use this dataset, please remember to cite:
@inproceedings{mortensen2021tusom2021, title={Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments}, author={Mortensen, David R and Picone, Jordan and Li, Xinjian and Siminyu, Kathleen}, booktitle={Proc. Interspeech 2021}, pages={3660--3664}, year={2021} }
Tusom2021 is a speech dataset from East Tusom, an endangered Tibeto-Burman language of Northeast India. The original dataset provides glosses and phonetic transcriptions (with versions that including tones), while we include only the transcriptions without tone marks. Other than that, the only change is that we host it on Hugging Face for ease of use 🤗
This dataset is included as pr-tsm in our phone recognition benchmarking toolkit, 💎PRiSM.
@misc{prism2026,
title={PRiSM: Benchmarking Phone Realization in Speech Models},
author={Shikhar Bharadwaj and Chin-Jou Li and Yoonjae Kim and Kwanghee Choi and Eunjung Yeo and Ryan Soh-Eun Shim and Hanyu Zhou and Brendon Boldt and Karen Rosero Jacome and Kalvin Chang and Darsh Agrawal and Keer Xu and Chao-Han Huck Yang and Jian Zhu and Shinji Watanabe and David R. Mortensen},
year={2026},
eprint={2601.14046},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2601.14046},
}