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--- |
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license: mit |
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task_categories: |
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- text-to-speech |
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language: |
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- en |
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pretty_name: WhisperSpeech |
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--- |
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# The WhisperSpeech Dataset |
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This dataset contains data to train SPEAR TTS-like text-to-speech models that utilized semantic tokens derived from the OpenAI Whisper |
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speech recognition model. |
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We currently provide semantic and acoustic tokens for the LibriLight and LibriTTS datasets (English only). |
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Acoustic tokens: |
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- 24kHz EnCodec 6kbps (8 quantizers) |
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Semantic tokens: |
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- Whisper tiny VQ bottleneck trained on a subset of LibriLight |
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Available LibriLight subsets: |
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- `small`/`medium`/`large` (following the original dataset division but with `large` excluding the speaker `6454`) |
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- a separate ≈1300hr single-speaker subset based on the `6454` speaker from the `large` subset for training single-speaker TTS models |
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We plan to add more acoustic tokens from other codecs in the future. |
