English(EN) Real-Time Short-Response Selection for Spoken Dialogue Systems

新方法通过短响应选择来掩盖对话系统响应延迟

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 05:00

研究人员开发了一种新颖的实时短响应选择任务，旨在提高口语对话系统的自然度。该方法使用对比学习将对话上下文映射到预生成的短响应，这些短响应被播放以掩盖主响应生成和语音合成中的延迟。实验表明，该方法能有效选择上下文适宜的短响应，优于随机和基于LLM的基线，同时以最小的开销保持轮次预测性能。 AI

影响通过掩盖生成延迟来提高口语对话系统的自然度。

排序理由该条目是一篇学术论文，详细介绍了一种用于口语对话系统的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Hien Ohnaka, Kazuyo Onishi, Koichiro Yoshino · 2026-11-09 05:00

面向口语对话系统的实时短响应选择

arXiv:2611.09057v1 Announce Type: cross Abstract: To realize spoken dialogue systems that can interact naturally with users, it is important for the system to respond to user utterances at appropriate timings. To achieve such natural turn-taking, the system needs not only to pred…