English(EN) Attention-Guided Reliability Scaling for Contrastive Decoding in Robust Audio-Visual Speech Recognition

新方法提升基于LLM的视听语音识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-28 04:00

研究人员开发了一种名为注意力引导可靠性缩放（AGRS）的新方法，以改进使用大型语言模型的视听语音识别（AVSR）系统。该技术通过根据注意力信号和预测发散动态调整对比强度来适应对比解码，后者对比了仅音频和视听条件。在LRS3数据集上的实验表明，AGRS在干净和嘈杂的音频条件下都能提高性能。 AI

影响这项研究可能带来更鲁棒、更准确的语音识别系统，尤其是在挑战性的声学环境中。

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arXiv cs.CV TIER_1 English(EN) · YoungChae Kim, Da-Hee Yang, Joon-Hyuk Chang · 2026-08-28 04:00

用于鲁棒视听语音识别的对比解码的注意力引导可靠性缩放

arXiv:2608.26213v1 Announce Type: cross Abstract: Large language model (LLM)-based audio-visual speech recognition (AVSR) systems are robust under noise. Contrastive decoding (CD), originally introduced to stabilize LLM generation by contrasting a weaker model against a stronger …