{"id":18149,"date":"2024-08-22T22:05:33","date_gmt":"2024-08-22T14:05:33","guid":{"rendered":"http:\/\/139.9.1.231\/?p=18149"},"modified":"2024-08-23T10:12:06","modified_gmt":"2024-08-23T02:12:06","slug":"the-dataset-of-speech-recognition","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2024\/08\/22\/the-dataset-of-speech-recognition\/","title":{"rendered":"The Dataset of Speech Recognition\u6570\u636e\u96c6"},"content":{"rendered":"\n

\u8bed\u97f3\u8bc6\u522b\u6570\u636e\u96c6\u6c47\u603b\uff1a<\/strong><\/p>\n\n\n\n

https:\/\/github.com\/double22a\/speech_dataset\/tree\/main?tab=readme-ov-file<\/a><\/p>\n\n\n\n\n\n

Chinese<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th>application<\/th><\/tr><\/thead>
THCHS-30<\/td>30<\/td>https:\/\/openslr.org\/18\/<\/td><\/td><\/td><\/tr>
Aishell<\/td>150<\/td>https:\/\/openslr.org\/33\/<\/td><\/td><\/td><\/tr>
ST-CMDS<\/td>110<\/td>https:\/\/openslr.org\/38\/<\/td><\/td><\/td><\/tr>
Primewords<\/td>99<\/td>https:\/\/openslr.org\/47\/<\/td><\/td><\/td><\/tr>
aidatatang<\/td>200<\/td>https:\/\/openslr.org\/62\/<\/td><\/td><\/td><\/tr>
MagicData<\/td>755<\/td>https:\/\/openslr.org\/68\/<\/td><\/td><\/td><\/tr>
ASR&SD<\/td>160<\/td>http:\/\/ncmmsc2021.org\/competition2.html<\/td>if available<\/td><\/td><\/tr>
Aishell2<\/td>1000<\/td>http:\/\/www.aishelltech.com\/aishell_2<\/td>if available<\/td><\/td><\/tr>
TAL ASR<\/td>100<\/td>https:\/\/ai.100tal.com\/dataset<\/td><\/td><\/td><\/tr>
Common Voice<\/td>63<\/td>https:\/\/commonvoice.mozilla.org\/zh-CN\/datasets<\/td>Common Voice Corpus 7.0<\/td><\/td><\/tr>
ASRU2019 ASR<\/td>500<\/td>https:\/\/www.datatang.com\/competition<\/td>if available<\/td><\/td><\/tr>
2021 SLT CSRC<\/td>398<\/td>https:\/\/www.data-baker.com\/csrc_challenge.html<\/td>if available<\/td><\/td><\/tr>
aidatatang_1505zh<\/td>1505<\/td>https:\/\/datatang.com\/opensource<\/td>if available<\/td><\/td><\/tr>
WenetSpeech<\/td>10000<\/td>https:\/\/github.com\/wenet-e2e\/WenetSpeech<\/td><\/td><\/td><\/tr>
KeSpeech<\/td>1542<\/td>https:\/\/openreview.net\/forum?id=b3Zoeq2sCLq<\/td><\/td>speech recognition, speaker verification, subdialect identification, voice conversion<\/td><\/tr>
MagicData-RAMC<\/td>180<\/td>https:\/\/arxiv.org\/pdf\/2203.16844.pdf<\/td>conversational speech data recorded from native speakers of Mandarin Chinese<\/td><\/td><\/tr>
Mandarin Heavy Accent Conversational Speech Corpus<\/td>58.78<\/td>https:\/\/magichub.com\/datasets\/mandarin-heavy-accent-conversational-speech-corpus\/<\/td><\/td><\/td><\/tr>
Free ST Chinese Mandarin Corpus<\/td>–<\/td>https:\/\/openslr.org\/38\/<\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

English<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
Common Voice<\/td>2015<\/td>https:\/\/commonvoice.mozilla.org\/zh-CN\/datasets<\/td>Common Voice Corpus 7.0<\/td><\/tr>
LibriSpeech<\/td>960<\/td>https:\/\/openslr.org\/12\/<\/td><\/td><\/tr>
ST-AEDS-20180100<\/td>4.7<\/td>http:\/\/www.openslr.org\/45\/<\/td><\/td><\/tr>
TED-LIUM Release 3<\/td>430<\/td>https:\/\/openslr.org\/51\/<\/td><\/td><\/tr>
Multilingual LibriSpeech<\/td>44659<\/td>https:\/\/openslr.org\/94\/<\/td>limited supervision<\/td><\/tr>
SPGISpeech<\/td>5000<\/td>https:\/\/datasets.kensho.com\/datasets\/scribe<\/td>if available<\/td><\/tr>
Speech Commands<\/td>10<\/td>https:\/\/www.kaggle.com\/c\/tensorflow-speech-recognition-challenge\/data<\/td><\/td><\/tr>
2020AESRC<\/td>160<\/td>https:\/\/datatang.com\/INTERSPEECH2020<\/td>if available<\/td><\/tr>
GigaSpeech<\/td>10000<\/td>https:\/\/github.com\/SpeechColab\/GigaSpeech<\/td><\/td><\/tr>
The People\u2019s Speech<\/td>31400<\/td>https:\/\/openreview.net\/pdf?id=R8CwidgJ0yT<\/td><\/td><\/tr>
Earnings-21<\/td>39<\/td>https:\/\/arxiv.org\/abs\/2104.11348<\/td><\/td><\/tr>
VoxPopuli<\/td>24100+543<\/td>https:\/\/arxiv.org\/pdf\/2101.00390.pdf<\/td>24100(unlabeled), 543(transcribed)<\/td><\/tr>
CMU Wilderness Multilingual Speech Dataset<\/td>13<\/td>http:\/\/festvox.org\/cmu_wilderness\/<\/td>Multilingual<\/td><\/tr>
MSR-86K<\/td>9795.46<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Chinese-English<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
SEAME<\/td>30<\/td>https:\/\/www.isca-speech.org\/archive_v0\/archive_papers\/interspeech_2010\/i10_1986.pdf<\/td><\/td><\/tr>
TAL CSASR<\/td>587<\/td>https:\/\/ai.100tal.com\/dataset<\/td><\/td><\/tr>
ASRU2019 CSASR<\/td>200<\/td>https:\/\/www.datatang.com\/competition<\/td>if available<\/td><\/tr>
ASCEND<\/td>10.62<\/td>https:\/\/arxiv.org\/pdf\/2112.06223.pdf<\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Japanese (ja-JP)<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
Common Voice<\/td>26<\/td>https:\/\/commonvoice.mozilla.org\/zh-CN\/datasets<\/td>Common Voice Corpus 7.0<\/td><\/tr>
Japanese_Scripted_Speech_Corpus_Daily_Use_Sentence<\/td>18<\/td>https:\/\/magichub.io\/cn\/datasets\/japanese-scripted-speech-corpus-daily-use-sentence\/<\/td><\/td><\/tr>
LaboroTVSpeech<\/td>2000<\/td>https:\/\/arxiv.org\/pdf\/2103.14736.pdf<\/td><\/td><\/tr>
CSJ<\/td>650<\/td>https:\/\/github.com\/kaldi-asr\/kaldi\/tree\/master\/egs\/csj<\/td><\/td><\/tr>
JTubeSpeech<\/td>1300<\/td>https:\/\/arxiv.org\/pdf\/2112.09323.pdf<\/td><\/td><\/tr>
MSR-86K<\/td>1779.03<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Korean (ko-KR)<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
korean-scripted-speech-corpus-daily-use-sentence<\/td>4.3<\/td>https:\/\/magichub.io\/cn\/datasets\/korean-scripted-speech-corpus-daily-use-sentence\/<\/td><\/td><\/tr>
korean-conversational-speech-corpus<\/td>5.22<\/td>https:\/\/magichub.io\/cn\/datasets\/korean-conversational-speech-corpus\/<\/td><\/td><\/tr>
MSR-86K<\/td>10338.66<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Russian (ru-RU)<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
Common Voice<\/td>148<\/td>https:\/\/commonvoice.mozilla.org\/zh-CN\/datasets<\/td>Common Voice Corpus 7.0<\/td><\/tr>
OpenSTT<\/td>20000<\/td>https:\/\/arxiv.org\/pdf\/2006.08274.pdf<\/td>limited supervision<\/td><\/tr>
MSR-86K<\/td>3188.52<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

French (fr-Fr)<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
MediaSpeech<\/td>10<\/td>https:\/\/arxiv.org\/pdf\/2103.16193.pdf<\/td>ASR system evaluation dataset<\/td><\/tr>
MSR-86K<\/td>8316.70<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Spanish (es-ES)<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
MediaSpeech<\/td>10<\/td>https:\/\/arxiv.org\/pdf\/2103.16193.pdf<\/td>ASR system evaluation dataset<\/td><\/tr>
MSR-86K<\/td>13976.84<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Turkish (tr-TR)<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
MediaSpeech<\/td>10<\/td>https:\/\/arxiv.org\/pdf\/2103.16193.pdf<\/td>ASR system evaluation dataset<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Arabic (ar)<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
MediaSpeech<\/td>10<\/td>https:\/\/arxiv.org\/pdf\/2103.16193.pdf<\/td>ASR system evaluation dataset<\/td><\/tr>
MSR-86K<\/td>873.84<\/td>https:\/\/huggingface.co\/datasets\/Alex-Song\/MSR-86K<\/td>Multilingual<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

noise & nonspeech<\/strong><\/h1>\n\n\n\n
name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
MUSAN<\/td>–<\/td>https:\/\/openslr.org\/17\/<\/td><\/td><\/tr>
Room Impulse Response and Noise Database<\/td>–<\/td>https:\/\/openslr.org\/28\/<\/td><\/td><\/tr>
AudioSet<\/td>–<\/td>https:\/\/ieeexplore.ieee.org\/document\/7952261<\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The Dataset of Speech Synthesis<\/h1>\n\n\n\n

Chinese<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
Aishell3<\/td>85<\/td>https:\/\/openslr.org\/93\/<\/td><\/td><\/tr>
Opencpop<\/td>–<\/td>https:\/\/wenet.org.cn\/opencpop\/download\/<\/td>Singing Voice Synthesis<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

English<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
Hi-Fi Multi-Speaker English TTS Dataset<\/td>291.6<\/td>https:\/\/openslr.org\/109\/<\/td><\/td><\/tr>
LibriTTS corpus<\/td>585<\/td>https:\/\/openslr.org\/60\/<\/td><\/td><\/tr>
Speechocean762<\/td>–<\/td>https:\/\/www.openslr.org\/101\/<\/td><\/td><\/tr>
RyanSpeech<\/td>10<\/td>http:\/\/mohammadmahoor.com\/ryanspeech\/<\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The Dataset of Speech Recognition & Speaker Diarization<\/h1>\n\n\n\n

Chinese<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th>application<\/th><\/tr><\/thead>
Aishell4<\/td>120<\/td>https:\/\/openslr.org\/111\/<\/td>8-channel, conference scenarios<\/td>speech recognition, speaker diarization<\/td><\/tr>
ASR&SD<\/td>160<\/td>http:\/\/ncmmsc2021.org\/competition2.html<\/td>if available<\/td>speech recognition, speaker diarization<\/td><\/tr>
zhijiangcup<\/td>–<\/td>https:\/\/zhijiangcup.zhejianglab.com\/zhijiang\/match\/details\/id\/6.html<\/td>if available<\/td>speech recognition, speaker diarization<\/td><\/tr>
M2MET<\/td>120<\/td>https:\/\/arxiv.org\/pdf\/2110.07393.pdf<\/td>8-channel, conference scenarios<\/td>speech recognition, speaker diarization<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

English<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th>application<\/th><\/tr><\/thead>
CHiME-6<\/td>–<\/td>https:\/\/chimechallenge.github.io\/chime6\/download.html<\/td>if available<\/td>speech recognition, speaker diarization<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The Dataset of Speaker Recognition<\/h1>\n\n\n\n

Chinese<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th>application<\/th><\/tr><\/thead>
CN-Celeb<\/td>–<\/td>https:\/\/openslr.org\/82\/<\/td><\/td><\/td><\/tr>
KeSpeech<\/td>1542<\/td>https:\/\/openreview.net\/forum?id=b3Zoeq2sCLq<\/td><\/td>speech recognition, speaker verification, subdialect identification, voice conversion<\/td><\/tr>
MTASS<\/td>55.6<\/td>https:\/\/github.com\/Windstudent\/Complex-MTASSNet<\/td><\/td><\/td><\/tr>
THCHS-30<\/td>40<\/td>http:\/\/www.openslr.org\/18\/<\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

English<\/strong><\/p>\n\n\n\n

name<\/th>duration\/h<\/th>address<\/th>remark<\/th><\/tr><\/thead>
VoxCeleb Data<\/td>–<\/td>http:\/\/www.robots.ox.ac.uk\/~vgg\/data\/voxceleb\/<\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u4e2d\u6587\u8bed\u97f3\u8bc6\u522b\u6570\u636e\u96c6\u603b\u7ed3<\/h1>\n\n\n\n

OpenSLR\u56fd\u5185\u955c\u50cf<\/h2>\n\n\n\n

http:\/\/openslr.magicdatatech.com\/<\/a><\/p>\n\n\n\n

Free ST Chinese Mandarin Corpus<\/h2>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f\uff1a
\u53c2\u4e0e\u8005\uff1a855\u4eba
\u8fd9\u4e2a\u8bed\u6599\u5e93\u662f\u7528\u624b\u673a\u5728\u5ba4\u5185\u5b89\u9759\u7684\u73af\u5883\u4e2d\u5f55\u5236\u7684\u3002\u5b83\u6709855\u4e2aspeakers\u3002\u6bcf\u4e2a\u6f14\u8bb2\u8005\u6709120\u4e2a\u8bdd\u8bed\u3002\u6240\u6709\u7684\u8bdd\u8bed\u90fd\u7ecf\u8fc7\u4eba\u4ed4\u7ec6\u7684\u8f6c\u5f55\u548c\u6838\u5bf9\u3002\u4fdd\u8bc1\u8f6c\u5f55\u7cbe\u5ea6<\/p>\n\n\n\n

\u8bed\u6599\u5e93\u5305\u542b\uff1a
1\u97f3\u9891\u6587\u4ef6\uff1b
2\u8f6c\u5f55\uff1b
3\u5143\u6570\u636e\uff1b<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\uff1a\uff088.2G\uff09<\/p>\n\n\n\n

http:\/\/www.openslr.org\/resources\/38\/ST-CMDS-20170001_1-OS.tar.gz<\/a><\/p>\n\n\n\n

\u56fd\u5185\u955c\u50cf\uff1a<\/p>\n\n\n\n

http:\/\/cn-mirror.openslr.org\/resources\/38\/ST-CMDS-20170001_1-OS.tar.gz<\/a><\/p>\n\n\n\n

Primewords Chinese Corpus Set 1<\/h2>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f
\u53c2\u4e0e\u4eba\u6570\uff1a296\u4eba
\u65f6\u957f\uff1a178\u5c0f\u65f6<\/p>\n\n\n\n

\u8fd9\u4e2a\u514d\u8d39\u7684\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u6599\u5e93\u7531\u4e0a\u6d77\u666e\u529b\u4fe1\u606f\u6280\u672f\u6709\u9650\u516c\u53f8\u53d1\u5e03\u3002(www.primewords.cn)\u5305\u542b178\u4e2a\u5c0f\u65f6\u7684\u6570\u636e\u3002\u8be5\u8bed\u6599\u7531296\u540d\u4ee5\u4e2d\u6587\u4e3a\u6bcd\u8bed\u7684\u4eba\u7684\u667a\u80fd\u624b\u673a\u5f55\u5236\u3002\u8f6c\u5f55\u7cbe\u5ea6\u5927\u4e8e 98%\uff0c\u7f6e\u4fe1\u5ea6\u4e3a 95%\u3002\u514d\u8d39\u7528\u4e8e\u5b66\u672f\u7528\u9014\u3002\u8f6c\u8ff0\u548c\u8bcd\u53e5\u4e4b\u95f4\u7684\u6620\u5c04\u4ee5 JSON \u683c\u5f0f\u63d0\u4f9b\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\uff1a\uff089.0G\uff09<\/p>\n\n\n\n

http:\/\/www.openslr.org\/resources\/47\/primewords_md_2018_set1.tar.gz<\/a><\/p>\n\n\n\n

\u56fd\u5185\u955c\u50cf\uff1a<\/p>\n\n\n\n

http:\/\/cn-mirror.openslr.org\/resources\/47\/primewords_md_2018_set1.tar.gz<\/a><\/p>\n\n\n\n

\u7231\u6570\u667a\u6167\u4e2d\u6587\u624b\u673a\u5f55\u97f3\u97f3\u9891\u8bed\u6599\u5e93\uff08Mandarin Chinese Read Speech \uff09<\/h2>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a755\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a1000\u4eba<\/p>\n\n\n\n

\u97f3\u9891\u683c\u5f0f\uff1aPCM<\/p>\n\n\n\n

MagicData\u4e2d\u6587\u624b\u673a\u5f55\u97f3\u97f3\u9891\u8bed\u6599\u5e93\u5305\u542b755\u5c0f\u65f6\u7684\u4e2d\u6587\u666e\u901a\u8bdd\u6717\u8bfb\u8bed\u97f3\u6570\u636e\uff0c\u5176\u4e2d\u5206\u4e3a\u8bad\u7ec3\u96c6712.09\u5c0f\u65f6\u3001\u5f00\u53d1\u96c614.84\u5c0f\u65f6\u548c\u6d4b\u8bd5\u96c628.08\u5c0f\u65f6\u3002\u672c\u8bed\u6599\u5e93\u7684\u5f55\u5236\u6587\u672c\u8986\u76d6\u591a\u6837\u5316\u7684\u4f7f\u7528\u573a\u666f\uff0c\u5305\u62ec\u4e92\u52a8\u95ee\u7b54\u3001\u97f3\u4e50\u641c\u7d22\u3001\u53e3\u8bed\u77ed\u4fe1\u4fe1\u606f\u3001\u5bb6\u5c45\u547d\u4ee4\u63a7\u5236\u7b49\u3002\u91c7\u96c6\u65b9\u5f0f\u4e3a\u624b\u673a\u5f55\u97f3\uff0c\u6db5\u76d6\u591a\u79cd\u7c7b\u578b\u7684\u5b89\u5353\u624b\u673a\uff1b\u5f55\u97f3\u8f93\u51fa\u4e3aPCM\u683c\u5f0f\u30021000\u540d\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u53e3\u97f3\u533a\u57df\u7684\u53d1\u8a00\u4eba\u53c2\u4e0e\u91c7\u96c6\u3002MagicData\u4e2d\u6587\u624b\u673a\u5f55\u97f3\u97f3\u9891\u8bed\u6599\u5e93\u7531MagicData\u6709\u9650\u516c\u53f8\u5f00\u53d1\uff0c\u514d\u8d39\u53d1\u5e03\u4f9b\u975e\u5546\u4e1a\u4f7f\u7528\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u6570<\/a>\u636e\u5305\uff1a<\/a><\/p>\n\n\n\n

https:\/\/freedata.oss-cn-beijing.aliyuncs.com\/MAGICDATA_Mandarin_Chinese_Speech.zip<\/a><\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740<\/p>\n\n\n\n

http:\/\/www.imagicdatatech.com\/index.php\/home\/dataopensource\/data_info\/id\/101<\/a><\/p>\n\n\n\n

THCHS30<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f:40\u4f59\u5c0f\u65f6<\/p>\n\n\n\n

THCHS30\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u4e2d\u6587\u8bed\u97f3\u6570\u636e\u96c6\uff0c\u5305\u542b\u4e861\u4e07\u4f59\u6761\u8bed\u97f3\u6587\u4ef6\uff0c\u901a\u8fc7\u5355\u4e2a\u78b3\u7c92\u9ea6\u514b\u98ce\u5f55\u53d6\uff0c\u5927\u7ea640\u5c0f\u65f6\u7684\u4e2d\u6587\u8bed\u97f3\u6570\u636e\uff0c\u5185\u5bb9\u4ee5\u6587\u7ae0\u8bd7\u53e5\u4e3a\u4e3b\uff0c\u5168\u90e8\u4e3a\u5973\u58f0\u3002\u5b83\u662f\u7531\u6e05\u534e\u5927\u5b66\u8bed\u97f3\u4e0e\u8bed\u8a00\u6280\u672f\u4e2d\u5fc3\uff08CSLT\uff09\u51fa\u7248\u7684\u5f00\u653e\u5f0f\u4e2d\u6587\u8bed\u97f3\u6570\u636e\u5e93\u3002\u539f\u521b\u5f55\u97f3\u4e8e2002\u5e74\u7531\u6731\u6653\u71d5\u6559\u6388\u5728\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u667a\u80fd\u4e0e\u7cfb\u7edf\u91cd\u70b9\u5b9e\u9a8c\u5ba4\u76d1\u7763\u4e0b\u8fdb\u884c\uff0c\u539f\u540d\u201cTCMSD\u201d\uff0c\u4ee3\u8868\u201c\u6e05\u534e\u8fde\u7eed\u201d\u666e\u901a\u8bdd\u8bed\u97f3\u6570\u636e\u5e93\u2019\u300213\u5e74\u540e\u7684\u51fa\u7248\u7531\u738b\u4e1c\u535a\u58eb\u53d1\u8d77\uff0c\u5e76\u5f97\u5230\u4e86\u6731\u6653\u71d5\u6559\u6388\u7684\u652f\u6301\u3002\u4ed6\u4eec\u5e0c\u671b\u4e3a\u8bed\u97f3\u8bc6\u522b\u9886\u57df\u7684\u65b0\u5165\u95e8\u7684\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u73a9\u5177\u7ea7\u522b\u7684\u6570\u636e\u5e93\uff0c\u56e0\u6b64\uff0c\u6570\u636e\u5e93\u5bf9\u5b66\u672f\u7528\u6237\u5b8c\u5168\u514d\u8d39\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u56fd\u5185\u955c\u50cf\uff1a<\/p>\n\n\n\n

https:\/\/link.ailemon.me\/?target=http:\/\/cn-mirror.openslr.org\/resources\/18\/data_thchs30.tgz<\/a><\/p>\n\n\n\n

\u56fd\u5916\u955c\u50cf\uff1a<\/p>\n\n\n\n

https:\/\/link.ailemon.me\/?target=http:\/\/www.openslr.org\/resources\/18\/data_thchs30.tgz<\/a><\/p>\n\n\n\n

ST-CMDS<\/h2>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f\uff1a<\/p>\n\n\n\n

\u65f6\u957f:100\u4f59\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a855\u4eba<\/p>\n\n\n\n

ST-CMDS\u662f\u7531\u4e00\u4e2aAI\u6570\u636e\u516c\u53f8\u53d1\u5e03\u7684\u4e2d\u6587\u8bed\u97f3\u6570\u636e\u96c6\uff0c\u5305\u542b10\u4e07\u4f59\u6761\u8bed\u97f3\u6587\u4ef6\uff0c\u5927\u7ea6100\u4f59\u5c0f\u65f6\u7684\u8bed\u97f3\u6570\u636e\u3002\u6570\u636e\u5185\u5bb9\u4ee5\u5e73\u65f6\u7684\u7f51\u4e0a\u8bed\u97f3\u804a\u5929\u548c\u667a\u80fd\u8bed\u97f3\u63a7\u5236\u8bed\u53e5\u4e3a\u4e3b\uff0c855\u4e2a\u4e0d\u540c\u8bf4\u8bdd\u8005\uff0c\u540c\u65f6\u6709\u7537\u58f0\u548c\u5973\u58f0\uff0c\u9002\u5408\u591a\u79cd\u573a\u666f\u4e0b\u4f7f\u7528\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\uff1a<\/p>\n\n\n\n

\u56fd\u5185\u955c\u50cf\uff1a<\/p>\n\n\n\n

https:\/\/link.ailemon.me\/?target=http:\/\/cn-mirror.openslr.org\/resources\/38\/ST-CMDS-20170001_1-OS.tar.gz<\/a><\/p>\n\n\n\n

\u56fd\u5916\u955c\u50cf\uff1a<\/p>\n\n\n\n

https:\/\/link.ailemon.me\/?target=http:\/\/www.openslr.org\/resources\/38\/ST-CMDS-20170001_1-OS.tar.gz<\/a><\/p>\n\n\n\n

MAGICDATA Mandarin Chinese Read Speech Corpus<\/h2>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a755\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a1080\u4eba<\/p>\n\n\n\n

\u5e94\u7528\uff1a\u8bed\u97f3\u8bc6\u522b\uff0c\u673a\u5668\u7ffb\u8bd1\uff0c\u8bf4\u8bdd\u4eba\u8bc6\u522b\u548c\u5176\u4ed6\u8bed\u97f3\u76f8\u5173\u9886\u57df<\/p>\n\n\n\n

Magic Data\u6280\u672f\u6709\u9650\u516c\u53f8\u7684\u8bed\u6599\u5e93\uff0c\u8bed\u6599\u5e93\u5305\u542b755\u5c0f\u65f6\u7684\u8bed\u97f3\u6570\u636e\uff0c\u5176\u4e3b\u8981\u662f\u79fb\u52a8\u7ec8\u7aef\u7684\u5f55\u97f3\u6570\u636e\u3002\u9080\u8bf7\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u91cd\u70b9\u533a\u57df\u76841080\u540d\u6f14\u8bb2\u8005\u53c2\u4e0e\u5f55\u5236\u3002\u53e5\u5b50\u8f6c\u5f55\u51c6\u786e\u7387\u9ad8\u4e8e98\uff05\u3002\u5f55\u97f3\u5728\u5b89\u9759\u7684\u5ba4\u5185\u73af\u5883\u4e2d\u8fdb\u884c\u3002\u6570\u636e\u5e93\u5206\u4e3a\u8bad\u7ec3\u96c6\uff0c\u9a8c\u8bc1\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u6bd4\u4f8b\u4e3a51\uff1a1\uff1a2\u3002\u8bf8\u5982\u8bed\u97f3\u6570\u636e\u7f16\u7801\u548c\u8bf4\u8bdd\u8005\u4fe1\u606f\u7684\u7ec6\u8282\u4fe1\u606f\u88ab\u4fdd\u5b58\u5728\u5143\u6570\u636e\u6587\u4ef6\u4e2d\u3002\u5f55\u97f3\u6587\u672c\u9886\u57df\u591a\u6837\u5316\uff0c\u5305\u62ec\u4e92\u52a8\u95ee\u7b54\uff0c\u97f3\u4e50\u641c\u7d22\uff0cSNS\u4fe1\u606f\uff0c\u5bb6\u5ead\u6307\u6325\u548c\u63a7\u5236\u7b49\u3002\u8fd8\u63d0\u4f9b\u4e86\u5206\u6bb5\u7684\u6210\u7ee9\u5355\u3002\u8be5\u8bed\u6599\u5e93\u65e8\u5728\u652f\u6301\u8bed\u97f3\u8bc6\u522b\uff0c\u673a\u5668\u7ffb\u8bd1\uff0c\u8bf4\u8bdd\u4eba\u8bc6\u522b\u548c\u5176\u4ed6\u8bed\u97f3\u76f8\u5173\u9886\u57df\u7684\u7814\u7a76\u4eba\u5458\u3002\u56e0\u6b64\uff0c\u8bed\u6599\u5e93\u5b8c\u5168\u514d\u8d39\u7528\u4e8e\u5b66\u672f\u7528\u9014\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\u89c1\u53c2\u8003\uff1a
https:\/\/blog.ailemon.me\/2018\/11\/21\/free-open-source-chinese-speech-datasets\/
\u955c\u50cf\uff1a
http:\/\/www.openslr.org\/68\/<\/a><\/p>\n\n\n\n

AISHELL<\/h2>\n\n\n\n

AISHELL\u5f00\u6e90\u72481<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a178\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a400\u4eba<\/p>\n\n\n\n

\u91c7\u6837\uff1a44.1kHz & 16kHz 16bit<\/p>\n\n\n\n

AISHELL\u662f\u7531\u5317\u4eac\u5e0c\u5c14\u516c\u53f8\u53d1\u5e03\u7684\u4e00\u4e2a\u4e2d\u6587\u8bed\u97f3\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u542b\u7ea6178\u5c0f\u65f6\u7684\u5f00\u6e90\u7248\u6570\u636e\u3002\u8be5\u6570\u636e\u96c6\u5305\u542b400\u4e2a\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u5730\u533a\u3001\u5177\u6709\u4e0d\u540c\u7684\u53e3\u97f3\u7684\u4eba\u7684\u58f0\u97f3\u3002\u5f55\u97f3\u662f\u5728\u5b89\u9759\u7684\u5ba4\u5185\u73af\u5883\u4e2d\u540c\u65f6\u4f7f\u75283\u79cd\u4e0d\u540c\u8bbe\u5907\uff1a \u9ad8\u4fdd\u771f\u9ea6\u514b\u98ce\uff0844.1kHz\uff0c16-bit\uff09\uff1bAndroid\u7cfb\u7edf\u624b\u673a\uff0816kHz\uff0c16-bit\uff09\uff1biOS\u7cfb\u7edf\u624b\u673a\uff0816kHz\uff0c16-bit\uff09\u3002\u8fdb\u884c\u5f55\u97f3\uff0c\u5e76\u91c7\u6837\u964d\u81f316kHz\uff0c\u7528\u4e8e\u5236\u4f5cAISHELL-ASR0009-OS1\u3002\u901a\u8fc7\u4e13\u4e1a\u7684\u8bed\u97f3\u6ce8\u91ca\u548c\u4e25\u683c\u7684\u8d28\u91cf\u68c0\u67e5\uff0c\u624b\u52a8\u8f6c\u5f55\u51c6\u786e\u7387\u8fbe\u523095\uff05\u4ee5\u4e0a\u3002\u8be5\u6570\u636e\u514d\u8d39\u4f9b\u5b66\u672f\u4f7f\u7528\u3002\u4ed6\u4eec\u5e0c\u671b\u4e3a\u8bed\u97f3\u8bc6\u522b\u9886\u57df\u7684\u65b0\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u9002\u91cf\u7684\u6570\u636e\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\uff1a<\/p>\n\n\n\n

http:\/\/www.aishelltech.com\/kysjcp<\/a><\/p>\n\n\n\n

AISHELL-2 \u5f00\u6e90\u4e2d\u6587\u8bed\u97f3\u6570\u636e\u5e93<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a1000\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a1991\u4eba<\/p>\n\n\n\n

\u5e0c\u5c14\u8d1d\u58f3\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u97f3\u6570\u636e\u5e93AISHELL-2\u7684\u8bed\u97f3\u65f6\u957f\u4e3a1000\u5c0f\u65f6\uff0c\u5176\u4e2d718\u5c0f\u65f6\u6765\u81eaAISHELL-ASR0009-[ZH-CN]\uff0c282\u5c0f\u65f6\u6765\u81eaAISHELL-ASR0010-[ZH-CN]\u3002\u5f55\u97f3\u6587\u672c\u6d89\u53ca\u5524\u9192\u8bcd\u3001\u8bed\u97f3\u63a7\u5236\u8bcd\u3001\u667a\u80fd\u5bb6\u5c45\u3001\u65e0\u4eba\u9a7e\u9a76\u3001\u5de5\u4e1a\u751f\u4ea7\u7b4912\u4e2a\u9886\u57df\u3002\u5f55\u5236\u8fc7\u7a0b\u5728\u5b89\u9759\u5ba4\u5185\u73af\u5883\u4e2d\uff0c \u540c\u65f6\u4f7f\u75283\u79cd\u4e0d\u540c\u8bbe\u5907\uff1a \u9ad8\u4fdd\u771f\u9ea6\u514b\u98ce\uff0844.1kHz\uff0c16bit\uff09\uff1bAndroid\u7cfb\u7edf\u624b\u673a\uff0816kHz\uff0c16bit\uff09\uff1biOS\u7cfb\u7edf\u624b\u673a\uff0816kHz\uff0c16bit\uff09\u3002AISHELL-2\u91c7\u7528iOS\u7cfb\u7edf\u624b\u673a\u5f55\u5236\u7684\u8bed\u97f3\u6570\u636e\u30021991\u540d\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u53e3\u97f3\u533a\u57df\u7684\u53d1\u8a00\u4eba\u53c2\u4e0e\u5f55\u5236\u3002\u7ecf\u8fc7\u4e13\u4e1a\u8bed\u97f3\u6821\u5bf9\u4eba\u5458\u8f6c\u5199\u6807\u6ce8\uff0c\u5e76\u901a\u8fc7\u4e25\u683c\u8d28\u91cf\u68c0\u9a8c\uff0c\u6b64\u6570\u636e\u5e93\u6587\u672c\u6b63\u786e\u7387\u572896%\u4ee5\u4e0a\u3002\uff08\u652f\u6301\u5b66\u672f\u7814\u7a76\uff0c\u672a\u7ecf\u5141\u8bb8\u7981\u6b62\u5546\u7528\u3002\uff09<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\uff1a<\/p>\n\n\n\n

http:\/\/www.aishelltech.com\/aishell_2<\/a><\/p>\n\n\n\n

AISHELL-\u7ffb\u8bd1\u673a\u5f55\u5236\u8bed\u97f3\u6570\u636e\u5e93<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a31.2\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a12\u4eba<\/p>\n\n\n\n

\u91c7\u6837\uff1a 44.1kHz & 16kHz 16bit<\/p>\n\n\n\n

\u6587\u4ef6\uff1awav<\/a><\/p>\n\n\n\n

\u6765\u81eaAISHELL\u7684\u5f00\u6e90\u8bed\u97f3\u6570\u636e\u4ea7\u54c1\uff1a\u7ffb\u8bd1\u673a\u5f55\u5236\u8bed\u97f3\u6570\u636e\u5e93<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\uff1a<\/p>\n\n\n\n

http:\/\/www.aishelltech.com\/aishell_2019C_eval<\/a><\/p>\n\n\n\n

AISHELL-\u5bb6\u5c45\u73af\u5883\u8fd1\u8fdc\u8bb2\u540c\u6b65\u8bed\u97f3\u6570\u636e\u5e93<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a24.3\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a50\u4eba<\/p>\n\n\n\n

\u91c7\u6837\uff1a 44.1kHz & 16kHz 16bit<\/p>\n\n\n\n

\u6587\u4ef6\uff1awav<\/p>\n\n\n\n

AISHELL-2019A-EVAL \u968f\u673a\u62bd\u53d6 50 \u4e2a\u53d1\u97f3\u4eba\u3002\u6bcf\u4eba\u4ece\u4f4d\u7f6e A(\u9ad8\u4fdd\u771f 44.1kHz\uff0c16bit)\u4e0e\u4f4d\u7f6e F(Android \u7cfb\u7edf\u624b\u673a 16kHz\uff0c16bit)\u4e2d\uff0c\u5404\u9009\u53d6 232 \u53e5\u5230 237 \u53e5\u3002
\u6b64\u6570\u636e\u5e93\u7ecf\u8fc7\u4e13\u4e1a\u8bed\u97f3\u6821\u5bf9\u4eba\u5458\u8f6c\u5199\u6807\u6ce8\uff0c\u5e76\u901a\u8fc7\u4e25\u683c\u8d28\u91cf\u68c0\u9a8c\uff0c\u6587\u672c\u6b63\u786e\u7387 100%\u3002<\/p>\n\n\n\n

AISHELL-2019A-EVAL \u662f AISHELL-ASR0010 \u7684\u5b50\u5e93\uff0c\u5171 24.3 \u5c0f\u65f6\u3002<\/p>\n\n\n\n

2\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\uff1a<\/p>\n\n\n\n

http:\/\/www.aishelltech.com\/aishell_2019A_eval<\/a><\/p>\n\n\n\n

AISHELL-\u8bed\u97f3\u5524\u9192\u8bcd\u6570\u636e\u5e93<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u65f6\u957f\uff1a437\uff0e67\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a86\u4eba<\/p>\n\n\n\n

\u91c7\u6837\uff1a 44.1kHz & 16kHz 16bit<\/p>\n\n\n\n

\u6587\u4ef6\uff1awav<\/p>\n\n\n\n

\u6765\u81ea\u5e0c\u5c14\u8d1d\u58f3\u7684\u8bed\u97f3\u5524\u9192\u8bcd\u6570\u636e\u5e93<\/p>\n\n\n\n

2)\u94fe\u63a5<\/p>\n\n\n\n

\u4e0b\u8f7d\u5730\u5740\uff1a<\/p>\n\n\n\n

http:\/\/www.aishelltech.com\/aishell_2019B_eval<\/a><\/p>\n\n\n\n

AISHELL-3 \u8bed\u97f3\u5408\u6210\u6570\u636e\u96c6<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f
\u5e0c\u5c14\u8d1d\u58f3\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u97f3\u6570\u636e\u5e93AISHELL-3\u7684\u8bed\u97f3\u65f6\u957f\u4e3a85\u5c0f\u65f688035\u53e5\uff0c\u53ef\u505a\u4e3a\u591a\u8bf4\u8bdd\u4eba\u5408\u6210\u7cfb\u7edf\u3002\u5f55\u5236\u8fc7\u7a0b\u5728\u5b89\u9759\u5ba4\u5185\u73af\u5883\u4e2d\uff0c \u4f7f\u7528\u9ad8\u4fdd\u771f\u9ea6\u514b\u98ce\uff0844.1kHz\uff0c16bit\uff09\u3002218\u540d\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u53e3\u97f3\u533a\u57df\u7684\u53d1\u8a00\u4eba\u53c2\u4e0e\u5f55\u5236\u3002\u4e13\u4e1a\u8bed\u97f3\u6821\u5bf9\u4eba\u5458\u8fdb\u884c\u62fc\u97f3\u548c\u97f5\u5f8b\u6807\u6ce8\uff0c\u5e76\u901a\u8fc7\u4e25\u683c\u8d28\u91cf\u68c0\u9a8c\uff0c\u6b64\u6570\u636e\u5e93\u97f3\u5b57\u786e\u7387\u572898%\u4ee5\u4e0a\u3002\uff08\u652f\u6301\u5b66\u672f\u7814\u7a76\uff0c\u672a\u7ecf\u5141\u8bb8\u7981\u6b62\u5546\u7528\u3002\uff09
2\uff09\u4e0b\u8f7d\u94fe\u63a5
\u56fd\u5185\u955c\u50cf\uff1a https:\/\/openslr.magicdatatech.com\/resources\/93\/data_aishell3.tgz
\u56fd\u5916\u955c\u50cf\uff1ahttps:\/\/www.openslr.org\/resources\/93\/data_aishell3.tgz<\/a><\/p>\n\n\n\n

Aidatatang<\/h2>\n\n\n\n

aidatatang_1505zh\uff08\u5b8c\u6574\u76841505\u5c0f\u65f6\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u97f3\u6570\u636e\u96c6\uff09<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a6408\u4eba<\/p>\n\n\n\n

\u65f6\u957f\uff1a1505\u5c0f\u65f6<\/p>\n\n\n\n

\u5305\u542b6408\u4f4d\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u5730\u533a\u7684\u8bf4\u8bdd\u4eba\u3001\u603b\u8ba11505\u5c0f\u65f6\u65f6\u957f\u51713\u4e07\u6761\u8bed\u97f3\u3001\u7ecf\u8fc7\u4eba\u5de5\u7cbe\u5fc3\u6807\u6ce8\u7684\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u6599\u96c6\u53ef\u4ee5\u5bf9\u4e2d\u6587\u8bed\u97f3\u8bc6\u522b\u7814\u7a76\u63d0\u4f9b\u826f\u597d\u7684\u6570\u636e\u652f\u6301\u3002\u91c7\u96c6\u533a\u57df\u8986\u76d6\u5168\u56fd34\u4e2a\u7701\u7ea7\u884c\u653f\u533a\u57df\u3002\u7ecf\u8fc7\u4e13\u4e1a\u8bed\u97f3\u6821\u5bf9\u4eba\u5458\u8f6c\u5199\u6807\u6ce8\uff0c\u5e76\u901a\u8fc7\u4e25\u683c\u8d28\u91cf\u68c0\u9a8c\uff0c\u53e5\u6807\u6ce8\u51c6\u786e\u7387\u8fbe98%\u4ee5\u4e0a\uff0c\u662f\u884c\u4e1a\u5185\u53e5\u51c6\u786e\u7387\u7684\u6700\u9ad8\u6807\u51c6\u3002

2\uff09\u4f7f\u7528\u6548\u679c\uff1a

3\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u6570\u636e\u7533\u8bf7\uff1a<\/p>\n\n\n\n

https:\/\/www.datatang.com\/webfront\/opensource.html<\/a><\/p>\n\n\n\n

Aidatatang_200zh\uff08\u57fa\u4e8e\u5b8c\u6574\u6570\u636e\u96c6\u7cbe\u9009\u7684200\u5c0f\u65f6\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u97f3\u6570\u636e\u96c6\uff09<\/h3>\n\n\n\n

1\uff09\u57fa\u672c\u4fe1\u606f
\u65f6\u957f\uff1a200\u5c0f\u65f6<\/p>\n\n\n\n

\u53c2\u4e0e\u4eba\u6570\uff1a600\u4eba<\/p>\n\n\n\n

\u91c7\u6837\uff1a 16kHz 16bit<\/p>\n\n\n\n

Aidatatang_200zh\u662f\u7531\u5317\u4eac\u6570\u636e\u79d1\u6280\u6709\u9650\u516c\u53f8\uff08\u6570\u636e\u5802\uff09\u63d0\u4f9b\u7684\u5f00\u653e\u5f0f\u4e2d\u6587\u666e\u901a\u8bdd\u7535\u8bdd\u8bed\u97f3\u5e93\u3002\u8bed\u6599\u5e93\u957f\u8fbe200\u5c0f\u65f6\uff0c\u7531Android\u7cfb\u7edf\u624b\u673a\uff0816kHz\uff0c16\u4f4d\uff09\u548ciOS\u7cfb\u7edf\u624b\u673a\uff0816kHz\uff0c16\u4f4d\uff09\u8bb0\u5f55\u3002\u9080\u8bf7\u6765\u81ea\u4e2d\u56fd\u4e0d\u540c\u91cd\u70b9\u533a\u57df\u7684600\u540d\u6f14\u8bb2\u8005\u53c2\u52a0\u5f55\u97f3\uff0c\u5f55\u97f3\u662f\u5728\u5b89\u9759\u7684\u5ba4\u5185\u73af\u5883\u6216\u73af\u5883\u4e2d\u8fdb\u884c\uff0c\u5176\u4e2d\u5305\u542b\u4e0d\u5f71\u54cd\u8bed\u97f3\u8bc6\u522b\u7684\u80cc\u666f\u566a\u97f3\u3002\u53c2\u4e0e\u8005\u7684\u6027\u522b\u548c\u5e74\u9f84\u5747\u5300\u5206\u5e03\u3002\u8bed\u6599\u5e93\u7684\u8bed\u8a00\u6750\u6599\u662f\u8bbe\u8ba1\u4e3a\u97f3\u7d20\u5747\u8861\u7684\u53e3\u8bed\u53e5\u5b50\u3002\u6bcf\u4e2a\u53e5\u5b50\u7684\u624b\u52a8\u8f6c\u5f55\u51c6\u786e\u7387\u5927\u4e8e98\uff05\u3002\u6570\u636e\u5e93\u63097:1:2\u7684\u6bd4\u4f8b\u5206\u4e3a\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002\u5728\u5143\u6570\u636e\u6587\u4ef6\u4e2d\u4fdd\u5b58\u8bf8\u5982\u8bed\u97f3\u6570\u636e\u7f16\u7801\u548c\u626c\u58f0\u5668\u4fe1\u606f\u7b49\u8be6\u7ec6\u4fe1\u606f\u3002\u8fd8\u63d0\u4f9b\u5206\u6bb5\u8f6c\u5f55\u672c\u3002<\/p>\n\n\n\n

2\uff09\u7279\u70b9<\/p>\n\n\n\n

\u8be5\u8bed\u6599\u5e93\u65e8\u5728\u4e3a\u8bed\u97f3\u8bc6\u522b\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u58f0\u7eb9\u8bc6\u522b\u7b49\u8bed\u97f3\u76f8\u5173\u9886\u57df\u7684\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u652f\u6301\u3002\u56e0\u6b64\uff0c\u8be5\u8bed\u6599\u5e93\u5b8c\u5168\u514d\u8d39\u4f9b\u5b66\u672f\u4f7f\u7528\u3002<\/p>\n\n\n\n

\u6570\u636e\u5802\u7cbe\u9009\u4e86200\u5c0f\u65f6\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u97f3\u6570\u636e\u5728OpenSLR\u53d1\u5e03\uff0c\u5e76\u5728Kaldi\u5e73\u53f0\u63d0\u4f9b\u4e86\u8bad\u7ec3\u4ee3\u7801\uff0c\u5bf9\u5e94\u7684\u8bad\u7ec3\u65b9\u6cd5\u4e5f\u5728github\u5e73\u53f0\u53d1\u5e03\u3002<\/p>\n\n\n\n

3\uff09\u94fe\u63a5<\/p>\n\n\n\n

\u8bad\u7ec3\uff1a<\/p>\n\n\n\n

https:\/\/github.com\/datatang-ailab\/aidatatang_200zh\/blob\/master\/README.md<\/a><\/p>\n\n\n\n

\u56fd\u5185\u955c\u50cf\uff1a<\/p>\n\n\n\n

https:\/\/link.ailemon.me\/?target=http:\/\/cn-mirror.openslr.org\/resources\/62\/aidatatang_200zh.tgz<\/a><\/p>\n\n\n\n

\u56fd\u5916\u955c\u50cf\uff1ahttps:\/\/link.ailemon.me\/?target=http:\/\/www.openslr.org\/resources\/62\/aidatatang_200zh.tgz<\/a><\/p>\n\n\n\n

hkust<\/h2>\n\n\n\n
  1. \u57fa\u672c\u4fe1\u606f
    200h\uff0c16khz\uff0c16bit\u3002\u4e2d\u6587\u7535\u8bdd\u6570\u636e\u96c6\uff0c\u7535\u8bdd\u5bf9\u8bdd\uff0cespnet\uff0ckaldi\u91cc\u9762\u90fd\u6709egs\u3002
    2\uff09\u94fe\u63a5\u4e0b\u8f7d\u94fe\u63a5\uff1ahttp:\/\/catalog.ldc.upenn.edu\/LDC2005S15<\/li><\/ol>\n\n\n\n

    Speechocean 10\u5c0f\u65f6\u4e2d\u6587\u666e\u901a\u8bdd\u8bed\u97f3\u8bc6\u522b\u8bed\u6599\u5e93<\/h2>\n\n\n\n

    1\uff09\u57fa\u672c\u4fe1\u606f
    \u8fd9\u662f\u4e00\u4e2a10.33\u5c0f\u65f6\u7684\u8bed\u6599\u5e93\uff0c\u5b83\u540c\u65f6\u901a\u8fc74\u4e2a\u4e0d\u540c\u7684\u9ea6\u514b\u98ce\u6536\u96c6\u3002\u5728\u5b89\u9759\u7684\u529e\u516c\u5ba4\u4e2d\uff0c\u753120\u4f4d\u8bf4\u8bdd\u8005\uff0810\u4f4d\u7537\u6027\u548c10\u4f4d\u5973\u6027\uff09\u5f55\u5236\u200b\u200b\u4e86\u8be5\u8bed\u6599\u5e93\u3002\u6bcf\u4e2a\u626c\u58f0\u5668\u5728\u4e00\u4e2a\u901a\u9053\u4e2d\u8bb0\u5f55\u4e86\u5927\u7ea6120\u58f0\u3002\u5305\u62ec\u8f6c\u5f55\u6587\u4ef6\u3002\u53e5\u5b50\u7684\u8f6c\u5f55\u7cbe\u5ea6\u9ad8\u4e8e98\uff05\u3002\u5b83\u5b8c\u5168\u514d\u8d39\u7528\u4e8e\u5b66\u672f\u76ee\u7684\u3002
    2\uff09\u4e0b\u8f7d\u94fe\u63a5
    \u767e\u5ea6\u4e91\u76d8(\u63d0\u53d6\u7801\uff1asktk)\uff1ahttps:\/\/pan.baidu.com\/share\/init?surl=1glZHlKIXjlPOOht6_yQXQ<\/p>\n\n\n\n

    cn-celeb<\/h2>\n\n\n\n

    1)\u57fa\u672c\u4fe1\u606f
    \u6b64\u6570\u636e\u662f\u201c\u5728\u91ce\u5916\u201d\u6536\u96c6\u7684\u5927\u89c4\u6a21\u8bf4\u8bdd\u4eba\u8bc6\u522b\u6570\u636e\u96c6\u3002\u8be5\u6570\u636e\u96c6\u5305\u542b\u6765\u81ea1000\u4f4d\u4e2d\u56fd\u540d\u4eba\u768413\u4e07\u79cd\u8bed\u97f3\uff0c\u6db5\u76d6\u4e86\u73b0\u5b9e\u4e16\u754c\u4e2d\u768411\u79cd\u4e0d\u540c\u6d41\u6d3e\u3002\u6240\u6709\u97f3\u9891\u6587\u4ef6\u90fd\u7f16\u7801\u4e3a\u5355\u901a\u9053\uff0c\u5e76\u4ee516\u4f4d\u7cbe\u5ea6\u4ee516kHz\u91c7\u6837\u3002\u6570\u636e\u6536\u96c6\u8fc7\u7a0b\u7531\u6e05\u534e\u5927\u5b66\u8bed\u97f3\u4e0e\u8bed\u8a00\u6280\u672f\u4e2d\u5fc3\u7ec4\u7ec7\u3002\u5b83\u4e5f\u7531\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d161633013\u548c\u535a\u58eb\u540e\u79d1\u5b66\u57fa\u91d12018M640133\u8d44\u52a9\u3002
    2\uff09\u4e0b\u8f7d\u94fe\u63a5<\/p>\n\n\n\n

    HI-MIA<\/h2>\n\n\n\n

    1\uff09\u57fa\u672c\u4fe1\u606f
    \u5185\u5bb9\u4e3a\u4e2d\u6587\u548c\u82f1\u6587\u7684\u5524\u9192\u8bcd\u201c\u55e8\uff0c\u7c73\u5a05\u201d\u3002\u4f7f\u7528\u9ea6\u514b\u98ce\u9635\u5217\u548cHi-Fi\u9ea6\u514b\u98ce\u5728\u5b9e\u9645\u5bb6\u5ead\u73af\u5883\u4e2d\u6536\u96c6\u6570\u636e\u3002\u4e0b\u6587\u63cf\u8ff0\u4e86\u57fa\u51c6\u7cfb\u7edf\u7684\u6536\u96c6\u8fc7\u7a0b\u548c\u5f00\u53d1\u3002\u6311\u6218\u4e2d\u4f7f\u7528\u7684\u6570\u636e\u662f\u4ece1\u4e2a\u9ad8\u4fdd\u771f\u9ea6\u514b\u98ce\u548c1\/3\/5\u7c73\u768416\u901a\u9053\u5706\u5f62\u9ea6\u514b\u98ce\u9635\u5217\u4e2d\u63d0\u53d6\u7684\u3002\u5185\u5bb9\u662f\u4e2d\u6587\u5524\u9192\u8bcd\u3002\u6574\u4e2a\u96c6\u5408\u5206\u4e3a\u706b\u8f66\uff08254\u4eba\uff09\uff0c\u5f00\u53d1\uff0842\u4eba\uff09\u548c\u6d4b\u8bd5\uff0844\u4eba\uff09\u5b50\u96c6\u3002\u6d4b\u8bd5\u5b50\u96c6\u63d0\u4f9b\u4e86\u6210\u5bf9\u7684\u76ee\u6807\/\u975e\u76ee\u6807\u7b54\u6848\uff0c\u4ee5\u8bc4\u4f30\u9a8c\u8bc1\u7ed3\u679c\u3002
    2\uff09\u4e0b\u8f7d\u94fe\u63a5
    \u56fd\u5185\u955c\u50cf(train) \uff1ahttp:\/\/openslr.magicdatatech.com\/resources\/85\/train.tar.gz
    \u56fd\u5185\u955c\u50cf(dev) \uff1a    http:\/\/openslr.magicdatatech.com\/resources\/85\/dev.tar.gz<\/a>
    \u56fd\u5185\u955c\u50cf(test) \uff1a    http:\/\/openslr.magicdatatech.com\/resources\/85\/test_v2.tar.gz<\/a>
    \u56fd\u5185\u955c\u50cf(filename_mapping)\uff1a    http:\/\/openslr.magicdatatech.com\/resources\/85\/filename_mapping.tar.gz<\/a><\/p>\n\n\n\n

    MobvoiHotwords<\/h2>\n\n\n\n

    1\uff09\u57fa\u672c\u4fe1\u606f
    MobvoiHotwords\u662f\u4eceMobvoi\u7684\u5546\u4e1a\u667a\u80fd\u626c\u58f0\u5668\u6536\u96c6\u7684\u5524\u9192\u5355\u8bcd\u7684\u8bed\u6599\u5e93\u3002\u5b83\u7531\u5173\u952e\u5b57\u548c\u975e\u5173\u952e\u5b57\u8bed\u97f3\u7ec4\u6210\u3002\u5bf9\u4e8e\u5173\u952e\u5b57\u6570\u636e\uff0c\u5c06\u6536\u96c6\u5305\u542b\u201c Hi xiaowen\u201d\u6216\u201c Nihao Wenwen\u201d\u7684\u5173\u952e\u5b57\u8bed\u97f3\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u5173\u952e\u5b57\uff0c\u5927\u7ea6\u670936k\u8bed\u97f3\u3002\u6240\u6709\u5173\u952e\u5b57\u6570\u636e\u5747\u6536\u96c6\u81ea788\u540d\u5e74\u9f84\u57283-65\u5c81\u4e4b\u95f4\u7684\u53d7\u8bd5\u8005\uff0c\u8fd9\u4e9b\u53d7\u8bd5\u8005\u4e0e\u667a\u80fd\u626c\u58f0\u5668\u7684\u8ddd\u79bb\uff081\u30013\u548c5\u7c73\uff09\u4e0d\u540c\u3002\u5728\u91c7\u96c6\u8fc7\u7a0b\u4e2d\uff0c\u5177\u6709\u4e0d\u540c\u58f0\u538b\u7ea7\u7684\u4e0d\u540c\u566a\u58f0\uff08\u4f8b\u5982\u97f3\u4e50\u548c\u7535\u89c6\u7b49\u5178\u578b\u7684\u5bb6\u5ead\u73af\u5883\u566a\u58f0\uff09\u4f1a\u5728\u540e\u53f0\u64ad\u653e\u3002<\/p>\n\n\n\n

    2\uff09\u4e0b\u8f7d\u94fe\u63a5
    \u56fd\u5185\u955c\u50cf \uff1ahttp:\/\/openslr.magicdatatech.com\/resources\/87\/mobvoi_hotword_dataset.tgz
    \u56fd\u5916\u955c\u50cf\uff1a    http:\/\/www.openslr.org\/resources\/87\/mobvoi_hotword_dataset.tgz<\/a><\/p>\n\n\n\n

    zhvoice: Chinese voice corpus<\/h2>\n\n\n\n

    1\uff09\u57fa\u672c\u4fe1\u606f
    zhvoice\u8bed\u6599\u75318\u4e2a\u5f00\u6e90\u6570\u636e\u96c6\uff0c\u7ecf\u8fc7\u964d\u566a\u548c\u53bb\u9664\u9759\u97f3\u5904\u7406\u800c\u6210\uff0c\u8bf4\u8bdd\u4eba\u7ea63200\u4e2a\uff0c\u97f3\u9891\u7ea6900\u5c0f\u65f6\uff0c\u6587\u672c\u7ea6113\u4e07\u6761\uff0c\u5171\u6709\u7ea61300\u4e07\u5b57\u3002<\/p>\n\n\n\n

    zhvoice\u8bed\u6599\u6bd4\u8f83\u539f\u59cb\u6570\u636e\u800c\u8a00\uff0c\u66f4\u52a0\u6e05\u6670\u548c\u81ea\u7136\uff0c\u51cf\u5c11\u4e86\u566a\u58f0\u7684\u5e72\u6270\uff0c\u51cf\u5c11\u4e86\u56e0\u8bf4\u8bdd\u4eba\u8bf4\u8bdd\u4e0d\u8fde\u8d2f\u9020\u6210\u7684\u4e0d\u81ea\u7136\u3002<\/p>\n\n\n\n

    zhvoice\u8bed\u6599\u5305\u542b\u6587\u672c\u3001\u8bed\u97f3\u548c\u8bf4\u8bdd\u4eba3\u4e2a\u65b9\u9762\u7684\u4fe1\u606f\uff0c\u53ef\u9002\u7528\u4e8e\u591a\u79cd\u8bed\u97f3\u76f8\u5173\u7684\u4efb\u52a1\u3002<\/p>\n\n\n\n

    zhvoice\u8bed\u6599\u7531\u667a\u6d6a\u6dd8\u6c99\u6e05\u6d17\u548c\u5904\u7406\u3002
    2\uff09\u4e0b\u8f7d\u94fe\u63a5
    https:\/\/github.com\/fighting41love\/zhvoice<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u8bed\u97f3\u8bc6\u522b\u6570\u636e\u96c6\u6c47\u603b\uff1a https:\/\/github.com\/double22a\/speech_dataset\/ … \u7ee7\u7eed\u9605\u8bfbThe Dataset of Speech Recognition\u6570\u636e\u96c6<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4,38,34],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/18149"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=18149"}],"version-history":[{"count":30,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/18149\/revisions"}],"predecessor-version":[{"id":18189,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/18149\/revisions\/18189"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=18149"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=18149"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=18149"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}