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--- |
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license: cc-by-4.0 |
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pretty_name: High-Quality TTS Speech Dataset |
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tags: |
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- speech |
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- tts |
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- text-to-speech |
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- voice-synthesis |
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- ai-research |
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- natural-speech |
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- audio-dataset |
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task_categories: |
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- text-to-speech |
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size_categories: |
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- n<1K |
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--- |
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# High-Quality TTS Speech Dataset |
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This dataset contains clean, high-quality human-recorded speech clips under studio environment designed for **neural Text-to-Speech (TTS)** model training. Each recording is captured in a quiet environment with clear pronunciation and consistent pacing. |
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--- |
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## Dataset Features |
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- Studio-quality microphone recordings |
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- Minimal background noise |
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- Consistent tone, pacing, and speaking style |
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- Suitable for both research and commercial TTS modeling with attribution |
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--- |
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## Intended Uses |
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### ✅ Direct Use |
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- Training neural Text-to-Speech (TTS) models |
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- Benchmarking voice synthesis quality |
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- Prosody and voice-style modeling |
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- Multilingual and accent adaptation research |
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- Phoneme, grapheme, and linguistic modeling |
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### ❌ Out-of-Scope Use |
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- Real-time, mission-critical speech systems |
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- Medical or diagnostic speech analysis |
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- Commercial deployment without proper CC BY 4.0 credit |
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- Biometric or individual identity recognition |
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--- |
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## Considerations and Limitations |
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- ❗ Dataset size is limited (<1,000 samples) and may not cover all phonetic diversity |
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- 🎧 Voice style is consistent; may not generalize to diverse accents or emotional variations |
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- 🔄 Future expansions will include more speakers, accents, and emotions for better generalization |
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--- |
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## License |
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**CC BY 4.0** — Free to use, modify, distribute, and publish with attribution. |
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--- |
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## Contact |
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For dataset collaboration, contribution, or citation details, contact: |
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- anoushka@kgen.io |
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- abhishek.vadapalli@kgen.io |
