Datasets:
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README.md
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---
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license: cc-by-4.0
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language:
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- en
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- hi
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task_categories:
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- text-to-speech
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size_categories:
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- 10K<n<100K
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---
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# Indic Speech
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Bilingual (English + Hindi) speech dataset for training Text-to-Speech and neural audio codec models. 24kHz mono audio.
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| Split | Samples | Hours |
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|-------|---------|-------|
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| Train | 83,670 | 166.5 |
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| Dev | 3,175 | 6.3 |
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| Test | 939 | 2.0 |
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**Total:** 87,784 samples, ~175 hours, 806 unique speakers.
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## Source Datasets
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| Dataset | Language |
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|---------|---------|----------|
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| [LibriTTS-R](https://huggingface.co/datasets/blabble-io/libritts_r) (clean-100 + clean-360) | English |
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| [IndicVoices-R](https://huggingface.co/datasets/ai4bharat/IndicVoices-R) | Hindi |
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| [SYSPIN](https://huggingface.co/datasets/SPRINGLab/SYSPIN_Hindi_Female_Male) | Hindi |
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