通过识别声音对象抑制复杂声学路径下的啸叫问题。
Acoustic Echo Control Based on Sound Object Identification for Suppressing Howling Caused by Complicated Acoustic Paths
- 识别声音对象，仅在非重复时放音，打破回声环
- 仿真显示可有效抑制啸叫，但牺牲部分语音质量
- 适合多人免提会议场景，对传统回声消除有补充价值
本文提出一种基于声音对象识别的声学回声控制方法，用于抑制多个免提终端共处同一房间的会议环境中因复杂声学路径引发的回声和啸叫。传统回声消除器针对设备内部固定路径设计，难以处理跨终端通信形成的非预期路径，易导致啸叫。本文方法不估计回声路径，而是识别声音对象，默认静音所有通道，仅当信号被判定为与近期观测对象不同时才允许播放。该机制可阻断因重复播放同一声音对象形成的回声环，可视作经典语音切换向条件半双工操作的扩展。文中讨论了技术挑战及与相关方法的关联，并通过仿真验证了啸叫抑制效果，同时揭示了与语音质量之间的权衡关系。
原文摘要 · Abstract (English)
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.
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