智能手机上基于噪声注入算法的自适应反馈抵消鲁棒实时实现

Parth Mishra, Serkan Tokgoz, I. Panahi
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引用次数: 4

摘要

我们提出了一种新颖的低延迟基于智能手机的应用程序,该应用程序演示了实时操作,以消除由智能手机或类似设备的扬声器和麦克风之间的耦合引起的声反馈的负面影响,利用鲁棒噪声注入(NI)方法。我们利用多个短持续时间的噪声注入来估计扬声器和麦克风之间适当顺序的滤波器系数,以便实时有效地执行反馈抵消。我们开发此应用程序背后的动机是执行有效的声学反馈消除,而不考虑扬声器和麦克风在考虑的平台上的位置。利用所提出的应用,我们可以估计出更衣室声学中扬声器和麦克风之间的传递函数,使得反馈抵消非常有效。进行了客观和主观测试,提出的实时应用结果表明,在不同环境条件下存在显著的声反馈抑制。我们提出了一种新颖的低延迟基于智能手机的应用程序,该应用程序演示了实时操作,以消除由智能手机或类似设备的扬声器和麦克风之间的耦合引起的声反馈的负面影响,利用鲁棒噪声注入(NI)方法。我们利用多个短持续时间的噪声注入来估计扬声器和麦克风之间适当顺序的滤波器系数,以便实时有效地执行反馈抵消。我们开发此应用程序背后的动机是执行有效的声学反馈消除,而不考虑扬声器和麦克风在考虑的平台上的位置。利用所提出的应用,我们可以估计出更衣室声学中扬声器和麦克风之间的传递函数,使得反馈抵消非常有效。进行了客观和主观测试,结果表明,所提出的实时应用…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust real-time implementation of adaptive feedback cancellation using noise injection algorithm on smartphone
We propose a novel low latency smartphone-based application that demonstrates the real-time operation to cancel the negative effects of acoustic feedback arising from the coupling between the speaker and the microphone of the smartphone or similar device utilizing the robust Noise Injection (NI) method. We make use of multiple noise injections of short durations to estimate the filter coefficients of an appropriate order between the speaker and the microphone, in order to perform the feedback cancellation effectively in real-time. Our motive behind the development of this application is to perform an effective acoustic feedback cancellation irrespective of the position of speaker and the microphone on the platform under consideration. With the proposed application, we can estimate the transfer function between speaker and microphone in the changing room acoustics making the feedback cancellation very effective. Objective and subjective tests were conducted and results of the proposed real-time application indicate significant acoustic feedback suppression in the presence of varying environmental conditions.We propose a novel low latency smartphone-based application that demonstrates the real-time operation to cancel the negative effects of acoustic feedback arising from the coupling between the speaker and the microphone of the smartphone or similar device utilizing the robust Noise Injection (NI) method. We make use of multiple noise injections of short durations to estimate the filter coefficients of an appropriate order between the speaker and the microphone, in order to perform the feedback cancellation effectively in real-time. Our motive behind the development of this application is to perform an effective acoustic feedback cancellation irrespective of the position of speaker and the microphone on the platform under consideration. With the proposed application, we can estimate the transfer function between speaker and microphone in the changing room acoustics making the feedback cancellation very effective. Objective and subjective tests were conducted and results of the proposed real-time application...
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