Chinese
| name | duration/h | address | remark | application |
|---|---|---|---|---|
| THCHS-30 | 30 | https://openslr.org/18/ | ||
| Aishell | 150 | https://openslr.org/33/ | ||
| ST-CMDS | 110 | https://openslr.org/38/ | ||
| Primewords | 99 | https://openslr.org/47/ | ||
| aidatatang | 200 | https://openslr.org/62/ | ||
| MagicData | 755 | https://openslr.org/68/ | ||
| ASR&SD | 160 | http://ncmmsc2021.org/competition2.html | if available | |
| Aishell2 | 1000 | http://www.aishelltech.com/aishell_2 | if available | |
| TAL ASR | 100 | https://ai.100tal.com/dataset | ||
| Common Voice | 63 | https://commonvoice.mozilla.org/zh-CN/datasets | Common Voice Corpus 7.0 | |
| ASRU2019 ASR | 500 | https://www.datatang.com/competition | if available | |
| 2021 SLT CSRC | 398 | https://www.data-baker.com/csrc_challenge.html | if available | |
| aidatatang_1505zh | 1505 | https://datatang.com/opensource | if available | |
| WenetSpeech | 10000 | https://github.com/wenet-e2e/WenetSpeech | ||
| KeSpeech | 1542 | https://openreview.net/forum?id=b3Zoeq2sCLq | speech recognition, speaker verification, subdialect identification, voice conversion | |
| MagicData-RAMC | 180 | https://arxiv.org/pdf/2203.16844.pdf | conversational speech data recorded from native speakers of Mandarin Chinese | |
| Mandarin Heavy Accent Conversational Speech Corpus | 58.78 | https://magichub.com/datasets/mandarin-heavy-accent-conversational-speech-corpus/ | ||
| Free ST Chinese Mandarin Corpus | - | https://openslr.org/38/ |
English
| name | duration/h | address | remark |
|---|---|---|---|
| Common Voice | 2015 | https://commonvoice.mozilla.org/zh-CN/datasets | Common Voice Corpus 7.0 |
| LibriSpeech | 960 | https://openslr.org/12/ | |
| ST-AEDS-20180100 | 4.7 | http://www.openslr.org/45/ | |
| TED-LIUM Release 3 | 430 | https://openslr.org/51/ | |
| Multilingual LibriSpeech | 44659 | https://openslr.org/94/ | limited supervision |
| SPGISpeech | 5000 | https://datasets.kensho.com/datasets/scribe | if available |
| Speech Commands | 10 | https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/data | |
| 2020AESRC | 160 | https://datatang.com/INTERSPEECH2020 | if available |
| GigaSpeech | 10000 | https://github.com/SpeechColab/GigaSpeech | |
| The People’s Speech | 31400 | https://openreview.net/pdf?id=R8CwidgJ0yT | |
| Earnings-21 | 39 | https://arxiv.org/abs/2104.11348 | |
| VoxPopuli | 24100+543 | https://arxiv.org/pdf/2101.00390.pdf | 24100(unlabeled), 543(transcribed) |
| CMU Wilderness Multilingual Speech Dataset | 13 | http://festvox.org/cmu_wilderness/ | Multilingual |
| MSR-86K | 9795.46 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
Chinese-English
| name | duration/h | address | remark |
|---|---|---|---|
| SEAME | 30 | https://www.isca-speech.org/archive_v0/archive_papers/interspeech_2010/i10_1986.pdf | |
| TAL CSASR | 587 | https://ai.100tal.com/dataset | |
| ASRU2019 CSASR | 200 | https://www.datatang.com/competition | if available |
| ASCEND | 10.62 | https://arxiv.org/pdf/2112.06223.pdf |
Japanese (ja-JP)
| name | duration/h | address | remark |
|---|---|---|---|
| Common Voice | 26 | https://commonvoice.mozilla.org/zh-CN/datasets | Common Voice Corpus 7.0 |
| Japanese_Scripted_Speech_Corpus_Daily_Use_Sentence | 18 | https://magichub.io/cn/datasets/japanese-scripted-speech-corpus-daily-use-sentence/ | |
| LaboroTVSpeech | 2000 | https://arxiv.org/pdf/2103.14736.pdf | |
| CSJ | 650 | https://github.com/kaldi-asr/kaldi/tree/master/egs/csj | |
| JTubeSpeech | 1300 | https://arxiv.org/pdf/2112.09323.pdf | |
| MSR-86K | 1779.03 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
Korean (ko-KR)
| name | duration/h | address | remark |
|---|---|---|---|
| korean-scripted-speech-corpus-daily-use-sentence | 4.3 | https://magichub.io/cn/datasets/korean-scripted-speech-corpus-daily-use-sentence/ | |
| korean-conversational-speech-corpus | 5.22 | https://magichub.io/cn/datasets/korean-conversational-speech-corpus/ | |
| MSR-86K | 10338.66 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
Russian (ru-RU)
| name | duration/h | address | remark |
|---|---|---|---|
| Common Voice | 148 | https://commonvoice.mozilla.org/zh-CN/datasets | Common Voice Corpus 7.0 |
| OpenSTT | 20000 | https://arxiv.org/pdf/2006.08274.pdf | limited supervision |
| MSR-86K | 3188.52 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
French (fr-Fr)
| name | duration/h | address | remark |
|---|---|---|---|
| MediaSpeech | 10 | https://arxiv.org/pdf/2103.16193.pdf | ASR system evaluation dataset |
| MSR-86K | 8316.70 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
Spanish (es-ES)
| name | duration/h | address | remark |
|---|---|---|---|
| MediaSpeech | 10 | https://arxiv.org/pdf/2103.16193.pdf | ASR system evaluation dataset |
| MSR-86K | 13976.84 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
Turkish (tr-TR)
| name | duration/h | address | remark |
|---|---|---|---|
| MediaSpeech | 10 | https://arxiv.org/pdf/2103.16193.pdf | ASR system evaluation dataset |
Arabic (ar)
| name | duration/h | address | remark |
|---|---|---|---|
| MediaSpeech | 10 | https://arxiv.org/pdf/2103.16193.pdf | ASR system evaluation dataset |
| MSR-86K | 873.84 | https://huggingface.co/datasets/Alex-Song/MSR-86K | Multilingual |
noise & nonspeech
| name | duration/h | address | remark |
|---|---|---|---|
| MUSAN | - | https://openslr.org/17/ | |
| Room Impulse Response and Noise Database | - | https://openslr.org/28/ | |
| AudioSet | - | https://ieeexplore.ieee.org/document/7952261 |
Chinese
| name | duration/h | address | remark |
|---|---|---|---|
| Aishell3 | 85 | https://openslr.org/93/ | |
| Opencpop | - | https://wenet.org.cn/opencpop/download/ | Singing Voice Synthesis |
English
| name | duration/h | address | remark |
|---|---|---|---|
| Hi-Fi Multi-Speaker English TTS Dataset | 291.6 | https://openslr.org/109/ | |
| LibriTTS corpus | 585 | https://openslr.org/60/ | |
| Speechocean762 | - | https://www.openslr.org/101/ | |
| RyanSpeech | 10 | http://mohammadmahoor.com/ryanspeech/ |
Chinese
| name | duration/h | address | remark | application |
|---|---|---|---|---|
| Aishell4 | 120 | https://openslr.org/111/ | 8-channel, conference scenarios | speech recognition, speaker diarization |
| ASR&SD | 160 | http://ncmmsc2021.org/competition2.html | if available | speech recognition, speaker diarization |
| zhijiangcup | - | https://zhijiangcup.zhejianglab.com/zhijiang/match/details/id/6.html | if available | speech recognition, speaker diarization |
| M2MET | 120 | https://arxiv.org/pdf/2110.07393.pdf | 8-channel, conference scenarios | speech recognition, speaker diarization |
English
| name | duration/h | address | remark | application |
|---|---|---|---|---|
| CHiME-6 | - | https://chimechallenge.github.io/chime6/download.html | if available | speech recognition, speaker diarization |
Chinese
| name | duration/h | address | remark | application |
|---|---|---|---|---|
| CN-Celeb | - | https://openslr.org/82/ | ||
| KeSpeech | 1542 | https://openreview.net/forum?id=b3Zoeq2sCLq | speech recognition, speaker verification, subdialect identification, voice conversion | |
| MTASS | 55.6 | https://github.com/Windstudent/Complex-MTASSNet | ||
| THCHS-30 | 40 | http://www.openslr.org/18/ |
English
| name | duration/h | address | remark |
|---|---|---|---|
| VoxCeleb Data | - | http://www.robots.ox.ac.uk/~vgg/data/voxceleb/ |