Arabic call-center conversations for speech models
Conversation audio for teams working on Arabic contact-center speech and dialogue. Review the source, speaker mix, and recording details for the release you plan to license.
What this dataset is for
For speech and contact-center teams that need conversation audio rather than individual scripted recordings.
Commercial license; permitted training use and delivery scope agreed in the license.
What’s included
- A separate Arabic call-center conversation product
- Conversational audio for ASR and dialogue modeling
- Part of the combined 10,000-hour catalog with Scripted Monologues
Full specifications & collection details
- Count
- Part of the combined 10,000-hour speech catalog; ask for this product’s allocation.
- Language / dialect
- Arabic; ask us for the register and dialect breakdown.
- Speakers
- Count and composition available on request
- Collection year
- Available on request
- Training task
- Conversational speech recognition and dialogue modeling
- Source
- Call-center conversations; collection method and source breakdown available on request.
- License
- Commercial license; permitted training use and delivery scope agreed in the license.
What to check in your sample
- Hours, speaker count, dialect mix, and collection dates
- Whether recordings are permissioned interactions, role-play, or derivatives
- Speaker roles, channels, transcripts, and timestamp coverage
We’ll send the available sample and documentation so your team can check the fit before licensing.
Common questions
How many hours are in the call-center product?
Call-Center Conversations and Scripted Monologues together make up the 10,000-hour Arabic speech catalog. The allocation to this product is available on request; 10,000 hours is not the count for each product.
Are these real customer calls or role-play recordings?
Request the source and collection-method breakdown for the selected release. Naturally occurring interactions, human role-play, and synthetic material should be assessed separately when choosing data for your application.