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  ---
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  license: mit
 
 
 
 
 
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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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+
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+ We plan to add more acoustic tokens from other codecs in the future.