Audio · Medical
Indic-language doctor-patient conversation audio, anonymized
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Indic-language doctor-patient conversation audio, anonymized is an audio and medical dataset. The provider states a volume of 3,000 hours. Typical applications include conversational AI and clinical NLP. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 3,000 hours.
- A sample is indicated as available from the provider.
A collection of anonymized doctor patient recordings in a variety of indic languages
Technical specifications
- Modalities
- Audio, Medical
- File formats
- Not specified by the provider
- Volume
- 3,000 hours
- Languages
- Not specified by the provider
Related datasets
More in Healthcare & Life Sciences →Audio · MedicalAdvertised
Real-world doctor-patient audio conversations across 14 medical specialties with human transcription
Real-world unscripted live doctor-patient conversations captured on patient mobile devices in clinical and at-home contexts.
- Language
- English
- Volume
- 9,385 h
- Domain
- Healthcare
- Use case
- Speech recognition
Price on request
More speech & audio datasets
All 1,727 speech & audio datasets →- Indonesian Average Tone Speech Synthesis Corpus | 3 People | Text-to-Speech(TTS) Data
- Indonesian conversational audio, channel-separated speakers
- Indonesian conversational podcasts across arts, education, news, society
- Indonesian conversational podcasts across genres
- Indonesian conversational podcasts, various genres
- Indonesian Hard Negative & Edge Case Multi-Turn Speech Dataset for Preventing False Positives in Automotive Voice Assistants
- Sundanese–Indonesian Code-Switching Conversational Speech Corpus — First-of-its-Kind, Consented
- Indonesian live conversational audio, channel-separated
- Indonesian live conversational audio, single-channel