Kratos-AI/Natural-ASR-Samples

---
license: cc-by-4.0
pretty_name: Natural ASR Speech Dataset
tags:
- speech
- asr
- automatic-speech-recognition
- hinglish
- tamil
- bengali
- conversational-ai
- multilingual
- audio-dataset
task_categories:
- automatic-speech-recognition
size_categories:
- n<1K
---
# Natural ASR Speech Samples

This set contains natural two-person conversations recorded in Hinglish, Tamil, and Bengali, paired with high-quality human-generated transcriptions. The recordings capture spontaneous, real-life dialogue including pauses, fillers, overlaps, and informal phrasing, making it ideal for building robust Automatic Speech Recognition (ASR) systems. Also we can support all indic languages and accents across India + Arabic + Korean + Vietnamese + Portuguese

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## Dataset Features

- Natural, unscripted two-speaker conversations
- Hinglish, Tamil, and Bengali multilingual coverage
- Varied speaking speeds, tones, and regional accents
- Clean and accurate human transcriptions
- Includes pauses, interruptions, and conversational flow
- Suitable for research and commercial ASR development with attribution

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## Intended Uses

### ✅ Direct Use

- Training multilingual and code-mixed ASR models
- Benchmarking conversational ASR performance
- Hinglish language modeling
- Accent-robust ASR system development
- Dialogue understanding and speech-to-text tasks
- Evaluation of spontaneous-speech ASR accuracy

### ❌ Out-of-Scope Use

- Speaker or biometric identification
- Psychological, emotion, or behavior profiling
- Medical or clinical speech analysis
- Commercial deployment without CC BY 4.0 credit
- Real-time mission-critical ASR applications

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## Considerations and Limitations

- ❗ Dataset size is limited (<1,000 samples) and may not include all dialects
- 🎧 Contains fillers, hesitations, and overlapping conversation (true natural speech)
- 🗣️ Accent diversity exists but is not fully representative of all regions
- 🔄 Future versions will add more speakers, languages, and recording environments

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## License

**CC BY 4.0** — Free to use, modify, distribute, and publish with attribution.

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## Contact

For dataset collaboration, contribution, or citation details, contact:
- [e-mail]