用去混响方法同时解决扩音系统反馈问题，提升音量上限
On the Use of Dereverberation for Acoustic Feedback Cancellation
- 将声学反馈建模为源信号的混响版本，统一处理思路
- 仿真验证：仅用去混响算法即可有效消除反馈，增益提升显著
- 适合做助听器、公共广播系统优化的研究者参考
在公共广播系统和助听器中，最大可放大增益受限于声学反馈。为实现更高增益，需采用反馈消除方法。此外，通常也希望在回放前对录音信号进行去混响，即去除信号中的晚期混响成分。本文证明，在两个合理假设下，声学反馈信号可表示为源信号的混响版本。因此，联合去混响与声学反馈消除问题可简化为纯去混响问题，即直接应用现有去混响算法即可解决。仿真结果证实了该结论的有效性。
原文摘要 · Abstract (English)
In public address systems and hearing aids, the maximally achievable amplification or gain is limited by acoustic feedback. Therefore, in order to be able to apply a higher gain, feedback cancellation methods are required. In addition, it is oftentimes also desirable to dereverberate a recorded signal, that is, remove the late reverberation component of the signal, before playing it back. In this paper, it is shown that under two mild conditions, the acoustic feedback signal can be written as a reverberant version of the source signal. Therefore, it is possible to treat the joint dereverberation and acoustic feedback cancellation problem as a dereverberation-only problem, meaning that dereverberation algorithms can be applied to the joint problem. Simulations corroborate this finding
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