Arabic live conversational audio, tech domains, dialect-tagged
Overview
Arabic live conversational audio, tech domains, dialect-tagged is an audio dataset. It covers Arabic. The provider states a volume of 1,500 hours. Typical applications include speech recognition and conversational AI. The listing mentions transcription and human review. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 1,500 hours.
- Listing mentions transcription, human review.
- A sample is indicated as available from the provider.
A collection of real-world, day-to-day conversational audio from tech-focused contributors, including software engineering, data science, cybersecurity, and it—alongside a diverse mix of students, freelancers, and professionals in fields such as design, finance, and education. the dataset includes approximately 2,286 unique speakers, with dialect tagging recorded for each individual. conversations may include speakers from different dialect groups or individuals adapting between dialects to communicate effectively. speaker dialects include egyptian arabic (cairene, alexandrian), algerian, moroccan, and others. human-validated transcripts are available upon request for an additional cost.
Technical specifications
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- Language
- Arabic
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition