A unified discrete autoregressive model for joint text-to-speech and co-speech gesture synthesis via interleaved token sequences and modality-specific decoders.
Experimental setting We pre-trained Gelina on GigaSpeech [26], LibriTTS [27], and MLS-10k [28], totaling 18.19k h
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Gelina: Unified Speech and Gesture Synthesis via Interleaved Token Prediction
A unified discrete autoregressive model for joint text-to-speech and co-speech gesture synthesis via interleaved token sequences and modality-specific decoders.