[{"@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(market trends, financial policies, etc.), microeconomics(individual enterprises, stocks, investment portfolios, etc.)"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise"},{"@type":"PropertyValue","name":"Country","value":"Brazil(BRA)"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"pt-BR"},{"@type":"PropertyValue","name":"Language","value":"Portuguese"},{"@type":"PropertyValue","name":"Features of annotation","value":"transcription text, timestamp, speaker identification, gender, noise, PII redacted"},{"@type":"PropertyValue","name":"Accuracy","value":"Word Accuracy Rate (WAR) at least 98% (Tags, entities are not included in accuracy statistics due to subjectivity)"}]
{"id":1543,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"200 Hours Brazilian Portuguese Finance Speech Dataset for AI Training","datazy":[{"title":"Format","content":"16k Hz, 16 bit, wav, mono channel","desc":"Format"},{"title":"Content category","content":"Covering various financial professional terminologies, primarily focuses on macroeconomics(market trends, financial policies, etc.), microeconomics(individual enterprises, stocks, investment portfolios, etc.)","desc":"Content category"},{"title":"Recording condition","content":"Low background noise","desc":"Recording condition"},{"title":"Country","content":"Brazil(BRA)","desc":"Country"},{"title":"Language(Region) Code","content":"pt-BR","desc":"Language(Region) Code"},{"title":"Language","content":"Portuguese","desc":"Language"},{"title":"Features of annotation","content":"transcription text, timestamp, speaker identification, gender, noise, PII redacted","desc":"Features of annotation"},{"title":"Accuracy","content":"Word Accuracy Rate (WAR) at least 98% (Tags, entities are not included in accuracy statistics due to subjectivity)","desc":"Accuracy"}],"datatag":"Brazilian Portuguese,Spontaneous Dialogue,Financial","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/APY240709008_demo1733911200342/APY240709008_demo/category/107805_11.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_11.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=1NWoEbKNdmVJuNfsM68NO79sT0s%3D","intro":"Você vai ter um leilão para térmica.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_9.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_9.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=CDVi7r7CcbHfykcLWFYGNVT9t%2BU%3D","intro":"Então, é, to- vou te te explicar. Então, tenho marcado o leilão para mil megawatts no norte, mil megawatts no nordeste.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_2.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_2.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=UaOMnfWQn4WVwKMUm254BUgIFYo%3D","intro":"E a termoelétrica, ela faz um papel de âncora. [N]","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_6.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_6.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=JodW2jVrMO2332aokE8W7B%2BeknA%3D","intro":"Vai ser- vai ser exclusivamente so- pelo capital privado.","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_4.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY240709008_demo1733911200342/APY240709008_demo/category/107805_4.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=jYKIPukPx%2BgQQdWDKBxEJb%2F2fys%3D","intro":"Você faz um shopping, se foi a loja âncora, você não vializa- não viabiliza as lojas menores.","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset contains 200 hours of Brazilian Portuguese financial speech data covering professional financial terminology, including macroeconomic and microeconomic topics. The dataset reflects real-world financial discussions and monologues. Each recording includes an accurate transcript, speaker ID, gender information, and other metadata. The dataset was collected from diverse native Brazilian Portuguese speakers across different regions, enhancing model performance in real and complex tasks. The dataset has undergone quality validation by multiple 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, and PIPL compliant.","dataexampl":null,"datakeyword":["financial speech dataset","finance speech dataset","financial asr dataset","banking speech dataset","financial audio dataset","portuguese financial speech 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":"200 Hours - Portuguese(Brazil) Financial Entities 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"]}
200 Hours Brazilian Portuguese Finance Speech Dataset for AI Training
financial speech dataset
finance speech dataset
financial asr dataset
banking speech dataset
financial audio dataset
portuguese financial speech dataset
This dataset contains 200 hours of Brazilian Portuguese financial speech data covering professional financial terminology, including macroeconomic and microeconomic topics. The dataset reflects real-world financial discussions and monologues. Each recording includes an accurate transcript, speaker ID, gender information, and other metadata. The dataset was collected from diverse native Brazilian Portuguese speakers across different regions, enhancing model performance in real and complex tasks. The dataset has undergone quality validation by multiple 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, and PIPL compliant.
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(market trends, financial policies, etc.), microeconomics(individual enterprises, stocks, investment portfolios, etc.)