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cs.SD2026
Grounded Decoding for Autoregressive Speech Enhancement via Adaptive Code-Space Grounding and Local LLM Refinement
Hao Shi, Yuan Gao, Zhaoheng Ni +4
Large language model (LLM)-based autoregressive speech enhancement (SE) produces natural speech using learned clean-speech priors, but may hallucinate content unsupported by the in…
cs.SD2026
Optimal Transport-based Semantic Alignment for LLM-based Audio-Visual Speech Recognition
Xugang Lu, Peng Shen, Yu Tsao +1
Large language model (LLM)-based audio-visual speech recognition (LLM-AVSR) has recently demonstrated strong robustness in adverse acoustic environments by leveraging complementary…
cs.SD2026
Beyond Acoustic Prefixes: Persistent Access to Serialized Acoustic Memory for LLM-Based Multi-Talker Speech Recognition
Hao Shi, Yuan Gao, Xugang Lu +1
Large language models (LLMs) provide strong linguistic priors for serialized output training (SOT), yet LLM-based multi-talker ASR degrades substantially as the number of overlappi…