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{"id":1156,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/APY220531001.jpg?Expires=2007353708&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=XReWjU9BVkjNeDfjRWav4UNKu0Y%3D","type1":"165","type1str":null,"type2":"165","type2str":null,"dataname":"797 Hours - Hindi(India) Spontaneous Dialogue Smartphone speech dataset","datazy":[{"title":"Format","value":"16kHz, 16 bit, wav, mono channel;"},{"title":"Content category","value":"Dialogue based on given topics;"},{"title":"Recording condition","value":"Low background noise (indoor);"},{"title":"Recording device","value":"Android smartphone, iPhone;"},{"title":"Speaker","value":"1,022 native speakers in total, 49% male and 51% female;"},{"title":"Country","value":"India(IND);"},{"title":"Language(Region) Code","value":"hi-IN;"},{"title":"Language","value":"Hindi;"},{"title":"Features of annotation","value":"Transcription text, timestamp, speaker ID, gender, PII redacted."},{"title":"Accuracy Rate","value":"Sentence Accuracy Rate (SAR) 95%"}],"datatag":"Conversational Speech,Phone,Hindi","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/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0071.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=RfJfj4%2F6sL4BN8EzXq%2B7Vjt8vzk%3D","/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0071.wav","अ इन लोग के वीडिओज़ से काफी फायदा भी मिलता हैं और नई नई चीजे सीखने को मिलती है तो, उन लोगों को फॉलो करने से कोई मतलब नहीं है।"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0074.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=%2BMwO6wZOC66a49M8wBfupok0Or4%3D","/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0074.wav","नहीं पर कभी-कभार ऐसा होता है ना की यार आज मूड हो गया आज उस सेलिब्रिटी की मूवी लगी है अपन थिएटर में चलकर देखते है अपनी फॅमिली को ले जाते है।"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0072.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=XzBwztPZlGOHliMi7t%2B9t1%2FGsfA%3D","/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0072.wav","तो मेरा तो ऐसा मानना है की ये ज़्यादा बेनिफिशियल है की आप, इस टाइप की सेलेब्रिटीज़ को"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0070.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=H5YXrzC%2FxWJdZLZN2wobztttDHY%3D","/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0070.wav","मैं जैसे फिर मैं यूट्यूब जगत में ज्यादा जाना पसंद करता हूँ कुछ यूट्यूबर्स अच्छे है जैसे डॉक्टर विवेक बिंद्रा हो गए।"],["mp3","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0069.wav?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=1UJseixwEi4fO73ZkimbD47e%2FZI%3D","/data/apps/damp/temp/ziptemp/APY220531001_demo1695809017552/APY220531001_demo/cel_001_00007_16k-0069.wav","बाकि आपका फिर अक्षय कुमार के आलावा कौन उससे कम इस्तर वाला सेलिब्रिटी अच्छा लगता हैं आपको?"]],"officialSummary":"Hindi(India) 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(1,002 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. 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Hindi(India) 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(1,002 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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
1,022 native speakers in total, 49% male and 51% female;
Russian(Russia) 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(126 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
Indonesian(Indonesia) 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(376 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.
audio data dataset conversational asr data Indonesian telephone
163 Hours - Russian(Russia) Children Real-world Casual Conversation and Monologue speech dataset
Russian(Russia) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), geographicly speaking, enhancing model performance in real and complex tasks.rnQuality 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.
RussianChildSpontaneousSpeech
162 Hours - French(France) Children Real-world Casual Conversation and Monologue speech dataset
French(France) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), geographicly speaking, enhancing model performance in real and complex tasks.rnQuality 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.
Spanish(Mexico) 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(126 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.
audio data dataset conversational asr data spanish mexican
French(Canada) 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(126 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.
audio data dataset conversational asr data french Canadian
Portuguese(Portugal) 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(124 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.
audio data dataset conversational asr data PortugueseEuropean
101 Hours - Italian(Italy) Children Real-world Casual Conversation and Monologue speech dataset
Italian(Italy) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), geographicly speaking, enhancing model performance in real and complex tasks.rnQuality 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.