[{"@type":"PropertyValue","name":"Format","value":"8kHz, 8bit, u-law/a-law wav, mono channel;"},{"@type":"PropertyValue","name":"Recording Environment","value":"quiet indoor environment, without echo;"},{"@type":"PropertyValue","name":"Recording content","value":"dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;"},{"@type":"PropertyValue","name":"Demographics","value":"878 Japanese, with 46% male and 54% female;"},{"@type":"PropertyValue","name":"Annotation","value":"annotating for the transcription text, speaker identification and gender;"},{"@type":"PropertyValue","name":"Device","value":"Telephony recording system;"},{"@type":"PropertyValue","name":"Language","value":"Japanese;"},{"@type":"PropertyValue","name":"Application scenarios","value":"speech recognition; voiceprint recognition;"},{"@type":"PropertyValue","name":"Accuracy rate","value":"95%"}]
{"id":1409,"datatype":"1","titleimg":"/shujutang/static/image/index/datatang_yuyin_default.webp","type1":"165","type1str":null,"type2":"165","type2str":null,"dataname":"513 Hours – Japanese Conversational Speech Data by Telephone","datazy":[{"title":"Format","value":"8kHz, 8bit, u-law/a-law wav, mono channel;"},{"title":"Recording Environment","value":"quiet indoor environment, without echo;"},{"title":"Recording content","value":"dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;"},{"title":"Demographics","value":"878 Japanese, with 46% male and 54% female;"},{"title":"Annotation","value":"annotating for the transcription text, speaker identification and gender;"},{"title":"Device","value":"Telephony recording system;"},{"title":"Language","value":"Japanese;"},{"title":"Application scenarios","value":"speech recognition; voiceprint recognition;"},{"title":"Accuracy rate","value":"95%"}],"datatag":"Japanese,Conversation,Spontaneous,Telephone","technologydoc":null,"downurl":null,"datainfo":"","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":[["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_19.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=gH6d0%2FIOuDV%2BearnRZwlQsDRu%2FE%3D","/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_19.wav","そうですね。三食、えっと、野菜とタンパク質と"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_5.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=%2BRwFL2S5INzY3BPErMuO%2B%2BjMQLE%3D","/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_5.wav","はい、朝が十時ぐらいに、十時、頃、十時過ぎに食べたので、まだ食べてません"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_16.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=eu7suX1uzbM46u6zsB6TtmRBr58%3D","/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_16.wav","昼ご飯はえっと、ホットモットの生姜焼き弁当を買って"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_17.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=WFtNOc67vToaAcpbgi%2F84wBAb9U%3D","/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_17.wav","と生姜焼きと、漬物と、ポテトサラダが入ったものなんですけど、それとご飯を一緒に食べてきました"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_11.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=4VNWoDF0zr7EgXEr8fAE5XXK%2FlQ%3D","/data/apps/damp/temp/ziptemp/APY231130005_demo1711360882620/0024_001_telephone_11.wav","はいぼくは朝は卵豆腐とあとサラダ"]],"officialSummary":"The 513 Hours - Japanese Conversational Speech of natural conversations collected by telephony involved more than 800 native speakers, developed with the proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices is telephony recording system. The audio format is 8kHz, 8bit, uncompressed WAV, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification. The accuracy rate of sentences is ≥ 95%.","dataexampl":"","datakeyword":["Japanese natural conversation speech data"," Japanese natural conversation speech"," Japanese natural conversation data"," Japanese conversation speech data"],"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"],"single":"no"}
513 Hours – Japanese Conversational Speech Data by Telephone
Japanese natural conversation speech data
Japanese natural conversation speech
Japanese natural conversation data
Japanese conversation speech data
The 513 Hours - Japanese Conversational Speech of natural conversations collected by telephony involved more than 800 native speakers, developed with the proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices is telephony recording system. The audio format is 8kHz, 8bit, uncompressed WAV, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification. The accuracy rate of sentences is ≥ 95%.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
8kHz, 8bit, u-law/a-law wav, mono channel;
Recording Environment
quiet indoor environment, without echo;
Recording content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;
Demographics
878 Japanese, with 46% male and 54% female;
Annotation
annotating for the transcription text, speaker identification and gender;
Italian(Italy) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(676 native 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.
Thai(Thailand) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(1,986 native 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.
Portuguese(Brazil) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(142 native 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.
Conversational speechPortuguese asr data russian asr dataset Brazilian Portuguese
Russian(Russia) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(134 native 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.
Conversational speechRussian asr data russian asr dataset russia
Burmese(Myanmar) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(134 native 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.
Conversational speechBurmese asr data Burmese asr dataset
Hindi(India) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(1,004 native 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.
hindiConversational SpeechphoneHindi discuss data Hindi discuss dataset Hindi discuss collection Hindi small talk data Hindi small talk dataset Hindi small talk collection Hindi conversational data Hindi conversational dataset Hindi conversational collection Hindi chat data Hindi chat dataset Hindi chat collection Hindi communication data Hindi communication dataset Hindi communication collection Hindi speech data Hindi speech dataset Hindi speech collection Hindi talk data Hindi talk dataset Hindi talk collection Hindi conversation data Hindi conversation dataset Hindi conversation collection India discuss data India discuss dataset India discuss collection India small talk data India small talk dataset India small talk collection India conversational data India conversational dataset India conversational collection India chat data India chat dataset India chat collection India communication data India communication dataset India communication collection India speech data India speech dataset India speech collection India talk data India talk dataset India talk collection India conversation data India conversation dataset India conversation collection Indo-Aryan discuss data Indo-Aryan discuss dataset Indo-Aryan discuss collection Indo-Aryan small talk data Indo-Aryan small talk dataset Indo-Aryan small talk collection Indo-Aryan conversational data Indo-Aryan conversational dataset Indo-Aryan conversational collection Indo-Aryan chat data Indo-Aryan chat dataset Indo-Aryan chat collection Indo-Aryan communication data Indo-Aryan communication dataset Indo-Aryan communication collection Indo-Aryan speech data Indo-Aryan speech dataset Indo-Aryan speech collection Indo-Aryan talk data Indo-Aryan talk dataset Indo-Aryan talk collection Indo-Aryan conversation data Indo-Aryan conversation dataset Indo-Aryan conversation collection
Arabic(UAE) Real-world Casual Conversation and Monologue speech dataset, covers Interview, Speech, Variety, etc, 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.
ArabicUAEColloquial video data Arabic Conversation speech data
Italian(Italy) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(728 native 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.
phone Conversational SpeechItalianItalian discuss data Italian discuss dataset Italian discuss collection Italian small talk data Italian small talk dataset Italian small talk collection Italian conversational data Italian conversational dataset Italian conversational collection Italian chat data Italian chat dataset Italian chat collection Italian communication data Italian communication dataset Italian communication collection Italian speech data Italian speech dataset Italian speech collection Italian talk data Italian talk dataset Italian talk collection Italian conversation data Italian conversation dataset Italian conversation collection italia discuss data italia discuss dataset italia discuss collection italia small talk data italia small talk dataset italia small talk collection italia conversational data italia conversational dataset italia conversational collection italia chat data italia chat dataset italia chat collection italia communication data italia communication dataset italia communication collection italia speech data italia speech dataset italia speech collection italia talk data italia talk dataset italia talk collection italia conversation data italia conversation dataset italia conversation collection