Arabic Conference Call Speech Dataset
Overview
Arabic Conference Call Speech Dataset is an audio dataset. It covers Arabic. Typical applications include speech recognition. Relevant sectors: Science & Research, AI & Machine Learning, Customer Service and Telecommunications. The listing mentions transcription. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions transcription.
- A sample is indicated as available from the provider.
A 24-hour Arabic audio dataset comprising multi-speaker conference calls with 3–5 participants per session (42 sessions). Topics include daily life and business. Each speaker is recorded on a separate channel for cleaner transcription and ASR training.
Technical specifications
- Modalities
- Audio
- File formats
- Not specified by the provider
- Volume
- Not specified by the provider
- Languages
- Arabic
Related datasets
More in Speech & Audio →Finnish Conference Call Speech Dataset
28-hour Finnish audio dataset capturing conference calls with 3–5 Finnish native speakers per session (54 sessions).
- Language
- Finnish
- Volume
- —
- Domain
- Science & Research +3
- Use case
- Speech recognition
More Arabic speech & audio datasets
All 154 Arabic speech & audio datasets →- Arabic conversational audio, channel-separated speakers
- Arabic conversational podcasts across genres
- Arabic conversational podcasts, business, comedy, religion
- Arabic conversational podcasts from Saudi Arabia
- Arabic conversational podcasts, multi-genre studio audio
- Arabic conversational podcasts, multi-genre studio audio
- Arabic conversational podcasts, multi-genre studio audio
- Arabic conversational podcasts, studio-recorded, live
- Arabic conversational podcasts, studio-recorded, live
- Arabic conversational podcasts, various genres