两篇新研究论文探讨了全双工语音对话系统的进展，该系统允许同时进行听和说。一篇论文介绍了抗干扰自适应融合（IRAF），通过动态调整音频流的贡献来提高对背景噪声和干扰说话者的鲁棒性。另一篇论文提出了一种使用语义语音活动检测的LLM增强对话管理器，以高效处理轮流和减少计算负载。 AI
影响 这些进展旨在通过提高噪声鲁棒性和对话管理来创造更自然、更高效的语音交互。
排序理由 两篇学术论文提出了改进语音对话系统的新方法。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.06559v1 Announce Type: cross Abstract: Full-duplex spoken dialogue models allow voice agents to listen and speak concurrently, enabling natural interaction with real-time overlap. However, end-to-end dual-channel models that jointly encode user and agent streams may de…
arXiv:2502.14145v3 Announce Type: replace Abstract: Achieving full-duplex communication in spoken dialogue systems (SDS) requires real-time coordination between listening, speaking, and thinking. This paper proposes a semantic voice activity detection (VAD) module as a dialogue m…