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This paper introduces Lychee-FD, a native end-to-end full-duplex spoken language model that mitigates modality interference through a hierarchical parameter separation strategy, achieving significant improvements in speech intelligence and interaction fluidity.
FlexiSLM introduces dynamic frame rate capabilities for speech input and output in spoken language models, outperforming fixed-frame-rate models and enabling controllable inference speed.
VITA-QinYu is an expressive end-to-end spoken language model capable of role-playing and singing, trained on 15.8K hours of data to outperform peers in expressiveness and conversational accuracy.