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使用自适应噪声注入算法的高效实时声学反馈消除

Efficient Real-Time Acoustic Feedback Cancellation using Adaptive Noise Injection Algorithm.

作者信息

Patel Kashyap, Panahi Issa M S

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:972-975. doi: 10.1109/EMBC44109.2020.9175686.

Abstract

Acoustic feedback cancellation is a challenging problem in the design of sound reinforcement systems, hearing aids, etc. Acoustic feedback is inevitable when the acoustic signal path forms a loop between the microphone and loudspeaker. An efficient short duration noise injection algorithm is proposed in this paper to estimate the impulse response of the acoustic feedback path model. The algorithm does not require any prior information about the acoustic feedback path. It is capable of optimally estimate the acoustic feedback path for cancellation, and avoid the occurrence of any howling episode, in varying acoustic environments. Presented algorithm is efficiently implemented on smartphone device having close proximity of loudspeaker and microphone to emulate the feedback condition. The algorithm being platform-independent can also be implemented for any set-up or system. The experimental results of the proposed method shows satisfying results and its ability to track and cancel the acoustic feedback in changing characteristics of the acoustic path.

摘要

声学反馈消除是扩声系统、助听器等设计中的一个具有挑战性的问题。当声学信号路径在麦克风和扬声器之间形成回路时,声学反馈是不可避免的。本文提出了一种高效的短时噪声注入算法来估计声学反馈路径模型的脉冲响应。该算法不需要任何关于声学反馈路径的先验信息。它能够在不同的声学环境中最优地估计用于消除的声学反馈路径,并避免任何啸叫事件的发生。所提出的算法在扬声器和麦克风距离很近的智能手机设备上有效实现,以模拟反馈条件。该算法与平台无关,也可用于任何设置或系统。所提方法的实验结果显示出令人满意的结果,以及其在声学路径特性变化时跟踪和消除声学反馈的能力。

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