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audioduration (s)
17.1
315
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16
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8 values
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2 values
Sample1.wav
Assamese
Female
Sample2.wav
Assamese
Female
Sample3.wav
Assamese
Male
Sample4.wav
Assamese
Male
Sample5.wav
Gujrati
Female
Sample6.wav
Gujrati
Female
Sample8.wav
Gujrati
Male
Sample9.wav
Kannada
Female
Sample11.wav
Kannada
Male
Sample12.wav
Kannada
Male
Sample13.wav
Malyalam
Female
Sample14.wav
Malyalam
Female
Sample15.wav
Malyalam
Male
Sample16.wav
Marathi
Female
Sample17.wav
Marathi
Female
Sample18.wav
Marathi
Male
Sample20.wav
Odia
Female
Sample22.wav
Odia
Male
Sample23.wav
Odia
Male
Sample24.wav
Punjabi
Female
Sample25.wav
Punjabi
Female
Hindi_TTS_02.wav
Hindi
Female
Hindi_TTS_01.wav
Hindi
Female

High-Quality TTS Speech Dataset

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.


Dataset Features

  • Studio-quality microphone recordings
  • Minimal background noise
  • Consistent tone, pacing, and speaking style
  • Suitable for both research and commercial TTS modeling with attribution

Intended Uses

✅ Direct Use

  • Training neural Text-to-Speech (TTS) models
  • Benchmarking voice synthesis quality
  • Prosody and voice-style modeling
  • Multilingual and accent adaptation research
  • Phoneme, grapheme, and linguistic modeling

❌ Out-of-Scope Use

  • Real-time, mission-critical speech systems
  • Medical or diagnostic speech analysis
  • Commercial deployment without proper CC BY 4.0 credit
  • Biometric or individual identity recognition

Considerations and Limitations

  • ❗ Dataset size is limited (<1,000 samples) and may not cover all phonetic diversity
  • 🎧 Voice style is consistent; may not generalize to diverse accents or emotional variations
  • 🔄 Future expansions will include more speakers, accents, and emotions for better generalization

License

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


Contact

For dataset-related queries, please contact:

[support@humynlabs.ai]

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