[{"@type":"PropertyValue","name":"Format","value":"16k Hz, 16 bit, wav, mono channel"},{"@type":"PropertyValue","name":"Content category","value":"Covering various financial professional terminologies, primarily focuses on macroeconomics, microeconomics"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise"},{"@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 identification, gender, noise, sensitive information"},{"@type":"PropertyValue","name":"Accuracy","value":"Word Accuracy Rate (WAR) at least 98%"}]
{"id":2051,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"French(France) Financial Real-world Casual Conversation and Monologue speech dataset","datazy":[{"title":"Format","content":"16k Hz, 16 bit, wav, mono channel"},{"title":"Content category","content":"Covering various financial professional terminologies, primarily focuses on macroeconomics, microeconomics"},{"title":"Recording condition","content":"Low background noise"},{"title":"Country","content":"France(FRA)"},{"title":"Language(Region) Code","content":"fr-FR"},{"title":"Language","content":"French"},{"title":"Features of annotation","content":"transcription text, timestamp, speaker identification, gender, noise, sensitive information"},{"title":"Accuracy","content":"Word Accuracy Rate (WAR) at least 98%"}],"datatag":"French,Financial,Casual Conversation,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":null,"samplePresentation":[{"name":"000027_12.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260402172724/000027_12.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=xcR%2FXFjvGT5kY5ahNk2p3pUq65s%3D","intro":"Tarifaire pour commencer tout de suite, allez Lionel, je euh, me tourne euh, vers vous.","size":183796,"progress":100,"type":"mp3"},{"name":"000031_9.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260402172724/000031_9.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=PcoMb0ipez7jL7e%2FF4ezvFzN4sQ%3D","intro":"Anti-suroptimisation fiscale, le Conseil constitutionnel.[N]","size":127826,"progress":100,"type":"mp3"},{"name":"000031_17.wav","url":"https://storage-product.datatang.com/damp/product/sample_presentation/20260402172724/000031_17.wav?Expires=4102415999&OSSAccessKeyId=LTAI5tEBeSWUJiqjXvBMsxEu&Signature=08%2B44Rjc9pfu2bZ07FEe%2Fgfxg4U%3D","intro":"Pour le programme du jour si on a le temps aussi, on parlera aussi, de l'implication des entreprises.","size":126738,"progress":100,"type":"mp3"}],"officialSummary":"French(France) Financial Real-world Casual Conversation and Monologue speech dataset, covering various financial professional terminologies, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, 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","Financial","Casual Conversation","Monologue"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Language,Data Type","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\"},{\"code\":\"3\",\"language\":\"EN\"},{\"code\":\"4\",\"language\":\"JP\"}]","productNameEn":"300 Hours - French(France) Financial Real-world Casual Conversation and Monologue speech dataset","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"]}
French(France) Financial Real-world Casual Conversation and Monologue speech dataset
French
Financial
Casual Conversation
Monologue
French(France) Financial Real-world Casual Conversation and Monologue speech dataset, covering various financial professional terminologies, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, 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
16k Hz, 16 bit, wav, mono channel
Content category
Covering various financial professional terminologies, primarily focuses on macroeconomics, microeconomics
Recording condition
Low background noise
Country
France(FRA)
Language(Region) Code
fr-FR
Language
French
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, sensitive information
Accuracy
Word Accuracy Rate (WAR) at least 98%
Sample
Audio
Tarifaire pour commencer tout de suite, allez Lionel, je euh, me tourne euh, vers vous.
Audio
Anti-suroptimisation fiscale, le Conseil constitutionnel.[N]
Audio
Pour le programme du jour si on a le temps aussi, on parlera aussi, de l'implication des entreprises.