智能声反馈探测与抑制系统研究

Z. Huang, Dagui Huang, Ding Yang
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引用次数: 3

摘要

声反馈是公共广播系统中常见的一种现象。啸叫是由声反馈引起的,它抑制了放大器的增益,影响了传输声的清晰度。当反馈严重时,公共广播系统甚至无法工作。因此,控制声反馈是公共广播系统设计的关键。通过对嚎叫过程的研究,我们提出了一种有效的方案:利用FFT和Chirp-z变换算法检测声反馈,并产生一个与嚎叫信号幅值和频率相同但相位相反的波,加在输入信号上,从而去除有用声音中的声反馈。实验结果表明,该系统具有良好的声反馈抑制效果,抑制精度可达1Hz。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on intelligent acoustic feedback exploration and suppression system
Acoustic feedback is a common phenomenon in public addressing systems. Howling, which results from acoustic feedback, restrains the gain of amplifier and affects the transmissive sound's definition. When feedback goes serious, the public addressing systems even can't work. So making acoustic feedback under control is an key gist to the designer of public address system. By researching the process of howling, we have proposed an effectual scheme: use FFT and Chirp-z transform algorithm to detect acoustic feedback, and create a wave, which has the same amplitude and frequency with the howling signal but have reverse phase, to add on the input signal so that it can remove acoustic feedback from the useful sound. Experimental results show that the system performs a very well in acoustic feedback suppression and it's accuracy is 1Hz.
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