A unified discrete autoregressive model for joint text-to-speech and co-speech gesture synthesis via interleaved token sequences and modality-specific decoders.
The tokenizers independently convert continuous speech and gestures to discrete indices corresponding to latent codes in a vocabulary
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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.