Audio / Technology & IT
Hindi Hard Negative & Edge Case Multi-Turn Speech Dataset for Preventing False Positives in Automotive Voice Assistants
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Hindi Hard Negative & Edge Case Multi-Turn Speech Dataset for Preventing False Positives in Automotive Voice Assistants is an audio dataset. It covers Hindi. Typical applications include LLM pre-training and conversational AI. Relevant sectors: Technology & IT. Pricing is not published and is provided on request.
Primary applications
A Hindi multi-turn spoken dialogue dataset designed to prevent false positive activation of in-vehicle voice assistants, with a focus on hard negative and edge case scenarios.
Technical specifications
- Modalities
- Audio
- File formats
- Not specified by the provider
- Volume
- Not specified by the provider
- Languages
- Hindi
- Geographic coverage
- Not specified by the provider
- Annotation types
- Not specified by the provider
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- Language
- Hindi
- Volume
- 959 h
- Domain
- Healthcare
- Use case
- LLM pre-training
Price on request
Audio