SMLLE generates speech frame-by-frame using a Transducer for streaming semantic tokens plus a fully autoregressive mel-spectrogram model, reaching quality close to sentence-level zero-shot TTS.
Training Datasets We train SMLLE on the LibriSpeech dataset [27]
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Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling
SMLLE generates speech frame-by-frame using a Transducer for streaming semantic tokens plus a fully autoregressive mel-spectrogram model, reaching quality close to sentence-level zero-shot TTS.