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Arabic Audio Dataset
*This dataset contains high-quality (“A-grade”) data. It has been carefully curated, cleaned, and verified to ensure accuracy, completeness, and consistency, making it suitable for high-stakes or production-grade model training.
Contact
For queries or collaborations related to this dataset, contact: - anoushka@kgen.io - abhishek.vadapalli@kgen.io
Supported Tasks
- Task Categories: Speech Emotion Recognition (SER)
- Supported Tasks:
- Emotion classification from speech
- Audio signal processing for affective computing
- Speaker demographic analysis
- Cross-cultural emotion recognition research
- Voice synthesis with emotional expression (secondary use)
Languages
- Primary Language: Arabic
Dataset Creation
Curation Rationale
This dataset was created to advance Arabic speech emotion recognition research by providing labeled emotional speech samples across different demographic groups.
Source Data
- Contributors: Arabic native speakers across different age groups and genders
Other Known Limitations
- Size: Relatively small dataset may limit model generalization
- Audio Quality: Variations in recording conditions may affect model performance
- Regional Dialects: May not represent all Arabic regional speech patterns
Intended Uses
✅ Direct Use
- Training and benchmarking Speech Emotion Recognition models for Arabic
- Research in cross-cultural emotion recognition
- Development of Arabic-language affective computing applications
- Academic research in computational linguistics and psychology
❌ Out-of-Scope Use
- Real-time production systems without additional validation
- Clinical or diagnostic applications for mental health
- Commercial use without proper attribution
- Surveillance or privacy-invasive applications
License
CC BY 4.0
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