UAF is the first unified audio front-end LLM that turns multiple front-end tasks into one sequence prediction model processing streaming audio chunks and reference prompts to output semantic and control tokens for full-duplex interaction.
Feedforward sequential memory networks: A new structure to learn long-term dependency.ArXiv, abs/1512.08301
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UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction
UAF is the first unified audio front-end LLM that turns multiple front-end tasks into one sequence prediction model processing streaming audio chunks and reference prompts to output semantic and control tokens for full-duplex interaction.