English(EN) Noise Adaptive Streaming Audio-Visual Speech Token Enhancement for Robust Full-Duplex Spoken Dialogue Models

新的AV-STE系统通过视听语音令牌恢复增强对话模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:00

研究人员开发了AV-STE，一个新颖的模块化前端系统，旨在增强用于语音对话模型的视听语音令牌处理。该系统旨在通过在主要语言模型处理之前从嘈杂的音频和唇部视频中恢复损坏的语音令牌，来提高全双工对话系统的鲁棒性。通过保持下游对话模型冻结，AV-STE在保留其现有会话能力的同时，显著提高了响应连贯性，尤其是在有重叠语音的嘈杂环境中。 AI

影响这项研究可能带来更鲁棒、更连贯的语音对话系统，改善在嘈杂环境中的用户体验。

排序理由该集群包含一篇详细介绍改进AI模型的新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Bella Godiva, Yeonju Kim, Yong Man Ro · 2026-09-10 04:00

面向鲁棒全双工语音对话模型的噪声自适应流式音视频语音增强

arXiv:2609.08390v1 Announce Type: cross Abstract: Full-duplex spoken dialogue systems enable simultaneous listening and speaking, but their audio-only perception often fails under background noise and overlapping speech, leading to incoherent responses. Recent audio-visual dialog…

本文如何被排名

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面向鲁棒全双工语音对话模型的噪声自适应流式音视频语音增强

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