[{"@type":"PropertyValue","name":"Format","value":"16kHz, 16bit, uncompressed wav, mono channel;"},{"@type":"PropertyValue","name":"Content category","value":"Economy, entertainment, news, informal language, numbers, alphabet;"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise(indoor), without echo;"},{"@type":"PropertyValue","name":"Recording device","value":"Android smartphone; iPhone;"},{"@type":"PropertyValue","name":"Speaker","value":"406 people from France, Canada, Rwanda, etc., 52% male and 48% female;"},{"@type":"PropertyValue","name":"Country","value":"France(FRA), Canada(CAN), Rwanda(RWA), etc.;"},{"@type":"PropertyValue","name":"Language","value":"French;"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, 5 noise symbols, special identifiers;"},{"@type":"PropertyValue","name":"Accuracy Rate","value":"Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)"}]
{"id":114,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY161101033_R.png?Expires=2007353626&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=JqmlHKLIAjVsacCDokE8HJf96bo%3D","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"231.9 Hours French Speech Dataset with Diverse Speakers for AI Training","datazy":[{"title":"Format","desc":"Format","content":"16kHz, 16bit, uncompressed wav, mono channel;"},{"title":"Content category","desc":"Content category","content":"Economy, entertainment, news, informal language, numbers, alphabet;"},{"title":"Recording condition","desc":"Recording condition","content":"Low background noise(indoor), without echo;"},{"title":"Recording device","desc":"Recording device","content":"Android smartphone; iPhone;"},{"title":"Speaker","desc":"Speaker","content":"406 people from France, Canada, Rwanda, etc., 52% male and 48% female;"},{"title":"Country","desc":"Country","content":"France(FRA), Canada(CAN), Rwanda(RWA), etc.;"},{"title":"Language","desc":"Language","content":"French;"},{"title":"Features of annotation","desc":"Features of annotation","content":"Transcription text, timestamp, 5 noise symbols, special identifiers;"},{"title":"Accuracy Rate","desc":"Accuracy Rate","content":"Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)"}],"datatag":"French,Mobilephone,Reading,Scripted Monologue","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":["231 hours","406 people","text transcription"],"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0001Q0051.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0001Q0051.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=c1MENdij2Wgvy4cDnLGt6aBty6I%3D","intro":"À dix heures trente,un vent violent s'engouffre dans la cabine de l'Alouette","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0035Q0064.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0035Q0064.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=65%2BEpL2C7AmeopyAoPvLZmNxzig%3D","intro":"En deux mille neuf,la Chine est devenue le premier partenaire commercial du Brésil,devant les États Unis","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0001Q0088.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0001Q0088.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=VChZ%2F7CBxNNcX1cM3vVOMRTPkUg%3D","intro":"Ces comportements effritent la cohésion de l'équipe de travail,prévient-t-elle","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0035Q0051.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0035Q0051.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=XeIMWUYB8RogpY%2FeNoTrbSdqwaA%3D","intro":"À ce stade,vous serez assurée d'une retraite dorée","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0027Q0055.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY161101033_R_demo1729677600480/T9107G0027Q0055.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=HujIiC2CrM%2FPqtZ4Go62Zt8T6vo%3D","intro":"C'est une mauvaise transaction,et en plus,on apprend que ç'a été négocié par par un seul homme","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset contains 231.9 hours of French scripted monologue speech collected from native speakers based on predefined scripts. The recordings cover multiple domains, including economy, entertainment, news, informal speech, numbers, and alphabet sequences. Each audio sample includes accurate transcripts and additional metadata. The dataset was collected from 406 speakers from France, Canada, and African French-speaking regions, 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","french audio dataset","french asr dataset","european speech dataset","voice assistant 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,PT,DE,KO,FR,ES\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"231 Hours-French Speech Data by Mobile Phone_Reading","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"]}
231.9 Hours French Speech Dataset with Diverse Speakers for AI Training
french speech dataset
french audio dataset
french asr dataset
european speech dataset
voice assistant dataset
This dataset contains 231.9 hours of French scripted monologue speech collected from native speakers based on predefined scripts. The recordings cover multiple domains, including economy, entertainment, news, informal speech, numbers, and alphabet sequences. Each audio sample includes accurate transcripts and additional metadata. The dataset was collected from 406 speakers from France, Canada, and African French-speaking regions, 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
Sample
Recommended Dataset
