[{"@type":"PropertyValue","name":"Format","value":"48 kHz/24kHz, 16 bit, uncompressed wave, mono channel, speaker channel separation;"},{"@type":"PropertyValue","name":"Content category","value":"Dialogue based on given topics"},{"@type":"PropertyValue","name":"Recording condition","value":"Low background noise (indoor)"},{"@type":"PropertyValue","name":"Recording device","value":"Android smartphone, iPhone"},{"@type":"PropertyValue","name":"Country","value":"China"},{"@type":"PropertyValue","name":"Language(Region) Code","value":"zh-CN"},{"@type":"PropertyValue","name":"Language","value":"Mandarin"},{"@type":"PropertyValue","name":"Features of annotation","value":"Transcription text, timestamp, speaker ID, gender, noise"},{"@type":"PropertyValue","name":"Accuracy rate","value":"Character accuracy rate(CAR) 99%"}]
{"id":1890,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"166","type2str":null,"dataname":"3000 Hours - Mandarin Full-Duplex Spontaneous Dialogue Speech Dataset","datazy":[{"title":"Format","content":"48 kHz/24kHz, 16 bit, uncompressed wave, mono channel, speaker channel separation;"},{"title":"Content category","content":"Dialogue based on given topics"},{"title":"Recording condition","content":"Low background noise (indoor)"},{"title":"Recording device","content":"Android smartphone, iPhone"},{"title":"Country","content":"China"},{"title":"Language(Region) Code","content":"zh-CN"},{"title":"Language","content":"Mandarin"},{"title":"Features of annotation","content":"Transcription text, timestamp, speaker ID, gender, noise"},{"title":"Accuracy rate","content":"Character accuracy rate(CAR) 99%"}],"datatag":"","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":[],"officialSummary":" Mandarin Full-Duplex Spontaneous Dialogue Speech Dataset, collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age 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":["Full-Duplex","Dialogue","Mandarin"],"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","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"]}
Mandarin Full-Duplex Spontaneous Dialogue Speech Dataset, collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age 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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