Arabic doctor-patient conversation audio, Levantine, transcribed, Live
Overview
Arabic doctor-patient conversation audio, Levantine, transcribed, Live is an audio and medical dataset. It covers Arabic. The provider states a volume of 600 hours. Typical applications include speech recognition, conversational AI and clinical NLP. The listing mentions transcription. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 600 hours.
- Listing mentions transcription.
- A sample is indicated as available from the provider.
A collection of audio conversations between doctor and patient from levant region. average conversations are 12 minutes long. machine generated transcription is available.
Technical specifications
- Modalities
- Audio, Medical
Related datasets
More in Healthcare & Life Sciences →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
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