KGeN
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README.md
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- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
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- **Language**: Currently English-only; multilingual expansion is planned.
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- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
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- **Size**: The dataset is small (<1,000 samples), limiting its robustness for large-scale ASR training.
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- **Language**: Currently English-only; multilingual expansion is planned.
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- **Out-of-Scope Use**: Not designed for real-time speech applications or commercial use without adhering to the CC BY 4.0 license.
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## Intended Uses
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### β
Direct Use
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- Training and benchmarking ASR models with Indian-accented English
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- Emotion detection and classification from voice
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- Research in affective computing and empathetic AI
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### β Out-of-Scope Use
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- Real-time or production-grade systems
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- Commercial use without proper CC BY 4.0 attribution
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- Clinical or diagnostic use cases
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---
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## Considerations and Limitations
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- β The dataset is small (<1,000 samples) and not fully representative of India's linguistic and emotional diversity
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- π‘ Emotions are subjective β classification results may vary by listener or model
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- π Future versions will aim to expand multilingual support and speaker diversity
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---
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## License
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**CC BY 4.0** β You can use, modify, and share the dataset with appropriate credit.
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