Hindi Conversational Speech Data by Telephone | 760 Hours | Multilingual Language Data
Overview
Hindi Conversational Speech Data by Telephone | 760 Hours | Multilingual Language Data is an audio dataset. It covers Hindi. The provider states a volume of 760 hours. Typical applications include speech recognition and conversational AI. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription and timestamps. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 760 hours.
- Listing mentions transcription, timestamps.
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. Format 8kHz 8bit, a-law/u-law pcm, mono channel Content category Dialogue based on given topics Recording condition Low background noise (indoor) Recording device Telephony Country India(IND) Language(Region) Code hi-IN Language Hindi Speaker 1,004 people in total, 48% male and 52% female Features of annotation Transcription text, timestamp, speaker ID, gender Accuracy rate Sentence accuracy rate(SAR) 95%
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- Language
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- Volume
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- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
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