[{"@type":"PropertyValue","name":"Format","value":"16kHz, 16 bit, wav, mono channel;"},{"@type":"PropertyValue","name":"Content category","value":"Dialogue based on given topics;"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise (indoor);"},{"@type":"PropertyValue","name":"Recording device","value":"Android smartphone, iPhone;"},{"@type":"PropertyValue","name":"Speaker","value":"822 native speakers in total, 41% male and 59% female;"},{"@type":"PropertyValue","name":"Country","value":"France(FRA);"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"fr-FR;"},{"@type":"PropertyValue","name":"Language","value":"French;"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, speaker ID, gender, noise, PII redacted."},{"@type":"PropertyValue","name":"Accuracy Rate","value":"Word Accuracy Rate (WAR) 98%"}]
{"id":1146,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY220901001.jpg?Expires=2007353713&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=H6Je7yNLKNm3743LjCNCVZOvdq0%3D","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"470 Hours French Speech Dataset with Real-World Conversations and Speaker Metadata","datazy":[{"title":"Format","desc":"Format","content":"16kHz, 16 bit, wav, mono channel;"},{"title":"Content category","desc":"Content category","content":"Dialogue based on given topics;"},{"title":"Recording condition","desc":"Recording condition","content":"Low background noise (indoor);"},{"title":"Recording device","desc":"Recording device","content":"Android smartphone, iPhone;"},{"title":"Speaker","desc":"Speaker","content":"822 native speakers in total, 41% male and 59% female;"},{"title":"Country","desc":"Country","content":"France(FRA);"},{"title":"Language(Region) Code","desc":"Language(Region) Code","content":"fr-FR;"},{"title":"Language","desc":"Language","content":"French;"},{"title":"Features of annotation","desc":"Features of annotation","content":"Transcription text, timestamp, speaker ID, gender, noise, PII redacted."},{"title":"Accuracy Rate","desc":"Accuracy Rate","content":"Word Accuracy Rate (WAR) 98%"}],"datatag":"French,Conversational Speech","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0013.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0013.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=VtNFcnslLuOPLwd%2FwOPgrDeFIjI%3D","intro":"Alors, euh mon style actuellement et plutôt euh non binaire.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0011.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0011.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=yycCMNeGrXY7mHjyr2hyxMCnx1c%3D","intro":"tu dégages quelque chose et en ce sens là, je pense que la mode t'aide et euh, et c'est important.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0014.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0014.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=yL881K5arIHkwZ64pwF3LUmzESk%3D","intro":"c'est-à-dire que je ne vais pas euh forcément opter pour un style très féminim ou un style très masculin.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0012.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0012.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=cHHUGA6k7armJte7Msvoeuag0Vs%3D","intro":"Comment tu décrirais ton style ?","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0015.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220901001_demo1730196000190/APY220901001_demo/fas_301_00010_16k-0015.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=DkltrRx6hA%2FGJF2JJm2vOiv9%2FKo%3D","intro":"je vais porter des vêtements qui hiii qui seront sans genre particulier","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset contains 470 hours of French conversational speech collected through topic-based dialogues using mobile phone recordings. Topic covering more than 20 real-world domains. Each audio recording includes accurate transcripts, speaker ID, gender, age, and additional metadata. The dataset was collected from 822 native French speakers with diverse geographic and demographic backgrounds, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.","dataexampl":null,"datakeyword":["french speech dataset","voice assistant dataset","french audio dataset","european speech dataset","french asr dataset"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Data Type,Language","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"speechRec","dataShowType":"[{\"code\":\"0\",\"language\":\"ZH\"},{\"code\":\"1\",\"language\":\"ZH\"},{\"code\":\"2\",\"language\":\"EN,JP,PT,DE,KO,FR,ES\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"470 Hours - French Conversational Speech Data by Mobile Phone","BGimg":"brightSpot_audio","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"]}
470 Hours French Speech Dataset with Real-World Conversations and Speaker Metadata
french speech dataset
voice assistant dataset
french audio dataset
european speech dataset
french asr dataset
This dataset contains 470 hours of French conversational speech collected through topic-based dialogues using mobile phone recordings. Topic covering more than 20 real-world domains. Each audio recording includes accurate transcripts, speaker ID, gender, age, and additional metadata. The dataset was collected from 822 native French speakers with diverse geographic and demographic backgrounds, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
822 native speakers in total, 41% male and 59% female;