{"id":1391,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"202 Hours Telugu Speech Dataset for ASR and AI Model Training","datazy":[{"title":"Format","desc":"Format","content":"16k Hz, 16 bit, wav, mono channel;"},{"title":"Recording environment","desc":"Recording environment","content":"Low background noise;"},{"title":"Country","desc":"Country","content":"India(IND);"},{"title":"Language(Region) Code","desc":"Language(Region) Code","content":"te-IN;"},{"title":"Language","desc":"Language","content":"Telugu;"},{"title":"Features of annotation","desc":"Features of annotation","content":"Transcription text, timestamp, speaker ID, gender, noise."},{"title":"Accuracy Rate","desc":"Accuracy Rate","content":"Word Accuracy Rate (WAR) 98%"}],"datatag":"Telugu,India,Conversation","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":[],"officialSummary":"This dataset contains 202 hours of Telugu speech collected from native speakers across India, mirrors real-world interactions. The dataset includes accurate transcriptions and speaker metadata, such as speaker 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":["Telugu speech dataset","Telugu ASR dataset","Telugu audio dataset","Telugu voice dataset for AI","Indian language 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":"202 Hours - Telugu(India) 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"]}
202 Hours Telugu Speech Dataset for ASR and AI Model Training
Telugu speech dataset
Telugu ASR dataset
Telugu audio dataset
Telugu voice dataset for AI
Indian language speech dataset
This dataset contains 202 hours of Telugu speech collected from native speakers across India, mirrors real-world interactions. The dataset includes accurate transcriptions and speaker metadata, such as speaker 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.
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