基于声音对象识别的声学回声控制，用于抑制复杂声学路径导致的啸叫
Acoustic Echo Control Based on Sound Object Identification for Suppressing Howling Caused by Complicated Acoustic Paths
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中文总结 AI 辅助
本文针对多免提终端会议环境中复杂声学路径导致的啸叫问题，提出基于声音对象识别的声学回声控制方法，通过默认静音、仅放行非重复声音的方式抑制啸叫，仿真验证了其效果及与语音质量的权衡。
中文摘要 AI 辅助
本文提出一种基于声音对象识别的声学回声控制方法，用于抑制存在复杂声学路径的会议环境中的声学回声和啸叫，此类环境中同一房间内共存多个免提终端。传统声学回声消除器针对固定的设备内部回声路径，但意外路径（例如通过终端间通信形成的路径）难以控制，可能导致啸叫。与估计回声路径不同，所提方法识别声音对象，默认保持信道静音，仅当信号被判定与最近观测到的对象不相同才允许通过/播放。该方法打破了因同一声音对象重复播放形成的回声回路，可视为经典语音切换向条件半双工操作的扩展。本文讨论了技术挑战及与相关技术的联系，仿真结果显示该方法可抑制啸叫，同时存在与语音质量的权衡关系。
英文摘要
This paper proposes acoustic echo control based on sound object identification for suppressing acoustic echo and howling in conferencing environments with complicated acoustic paths, where multiple hands-free terminals coexist in the same room. Conventional acoustic echo cancellers target fixed intra-device echo paths; however, unintended paths, for example, those formed via inter-terminal communication, are difficult to control and can lead to howling. Instead of estimating echo paths, the proposed approach identifies sound objects and keeps channels muted by default, allowing pass/playback only when the signal is judged not dentical to recently observed objects. This breaks echo loops caused by repeated reproduction of the same sound object and can be viewed as an extension of classical voice switching toward conditional half-duplex operation. Technical challenges and connections to related techniques are discussed, and a simulation shows howling suppression together with a trade-off against speech quality.
发表机构
- Kyocera Corporation（京瓷公司）
- Future Design Research Laboratory（未来设计研究实验室）
机构由 AI 辅助整理，请以论文原文为准。
