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{"id":118,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY161101035_R.png?Expires=2007353627&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=pJLB0ce%2BkLiwU0v202f0JfNhBo0%3D","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"240 Hours - Hindi(India) Speech Dataset (Scripted Monologue)","datazy":[{"title":"Format","desc":"Format","content":"16kHz, 16bit, uncompressed wav, mono channel;"},{"title":"Recording condition","desc":"Recording condition","content":"Mixed(304 people recorded in quiet indoor environment, without echo; and 97 in normal condition with noise that does not affect voice recognition);"},{"title":"Content category","desc":"Content category","content":"economy, entertainment, news, informal language, numbers, alphabet;"},{"title":"Recording device","desc":"Recording device","content":"Android Smartphone, iPhone;"},{"title":"Speaker","desc":"Speaker","content":"401 Indians, 61% male and 39% female;"},{"title":"Country","desc":"Country","content":"India(IND);"},{"title":"Language(Region) Code","desc":"Language(Region) Code","content":"hi-IN;"},{"title":"Language","desc":"Language","content":"Hindi;"},{"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%"}],"datatag":"Hindi,India,Smartphone,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":["240 hours","401 Indian"],"samplePresentation":[{"name":"/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9123G1108Q0084.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9123G1108Q0084.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=b93wvFm3Z%2FneetUnBQGuD2vnabI%3D","intro":"बिजनेस डेस्ट हाउसिंग फाइनेंस कंपनी ~डीएचएफएल ने अपने रिटेल प्राइम लेंडिंग रेट में बीस ~बीपीएस की कटौती की है","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9122G0086Q0068.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9122G0086Q0068.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=AXv2HwoY9dZoUJDbIepEzvpYD%2BM%3D","intro":"इसमें[[lipsmack]] मार्च दो हजार पंद्रह के अंत तक फ्लिपकार्ट के परफॉर्मेंस का अंदाजा लग सकता है","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T0125G0233S0090.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T0125G0233S0090.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=zmmuZ44epcGljeP1xlW%2FkgTcxYc%3D","intro":"लाल ने कहा कि बैंक की स्ट्रैटेजी टेक्लोनॉजी पर[[background]] ओवर इनवेस्टमेंट और ब्रांच में अंडर इनवेस्टमेंट करना है","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9124G0200Q0404.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9124G0200Q0404.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=M9vjXrCzSgwc%2Fe2WIeh9xlkm0wY%3D","intro":"फूड[[lipsmack]] सेफ्टी[[lipsmack]] बिल एक वर्ष के लिए हो सकता है स्थगित","size":0,"progress":100,"type":"mp3"},{"name":"/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9127G0325Q0075.wav","url":"https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/apy161101035_r1695808873759/apy161101035_r/T9127G0325Q0075.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=buRSpff4LH55ZA1ET%2FxkB4UPUl0%3D","intro":"गेल इसके लिए अगले दो तीन महीनों में एक पायलट[[lipsmack]] प्रोजेक्ट चलाएगी","size":0,"progress":100,"type":"mp3"}],"officialSummary":"This dataset collected from monologue based on given scripts, covering economy, entertainment, news, informal language, numbers, alphabet and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(401 Indian recorded in quiet and noisy condition), 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":["hindi phone call speech dataset","hindi tts dataset","hindi speech corpus","hindi audio dataset","hindi asr dataset","hindi telephony speech dataset","hindi dialogue speech dataset","hindi conversational 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","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"]}
This dataset collected from monologue based on given scripts, covering economy, entertainment, news, informal language, numbers, alphabet and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(401 Indian recorded in quiet and noisy condition), 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
16kHz, 16bit, uncompressed wav, mono channel;
Recording condition
Mixed(304 people recorded in quiet indoor environment, without echo; and 97 in normal condition with noise that does not affect voice recognition);