Attribution
s2s-a0-en contains Mimi-tokenized (kyutai/mimi, CC-BY-4.0) derivatives of:
- Multilingual LibriSpeech (English) — via
parler-tts/mls_eng. CC-BY-4.0. Pratap et al., "MLS: A Large-Scale Multilingual Dataset for Speech Research" (2020). - LibriTTS-R — via
blabble-io/libritts_r. CC-BY-4.0. Koizumi et al., "LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus" (2023). - gemini-flash-2.0-speech —
shb777/gemini-flash-2.0-speech. Apache-2.0.
Text streams are tokenized with the Qwen3-0.6B tokenizer (Apache-2.0). This bucket contains no audio waveforms, only discrete codec tokens + token ids.
Xet Storage Details
- Size:
- 643 Bytes
- Xet hash:
- 69801b3e29aec919fab19df5e56ba95507258cbda0bbb872410e24c2f0cec804
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