分析了FIR滤波器和IIR滤波器对人类语音信号的不同效果

Heng Zhao
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引用次数: 0

摘要

数字滤波是人类语音滤波的一项重要技术。不同的数字滤波器产生不同的滤波效果。本文利用MATLAB编程工具设计了多种FIR数字滤波器和IIR数字滤波器,通过观察语音信号在不同滤波器中加入噪声后的效果。经过多次试听,结果表明IIR滤波器计算量少,对人类语音信号具有无限的脉冲响应,并且比FIR数字滤波器具有良好的稳定性和清晰度。在相同的技术指标下,由于输出对输入的反馈,IIR滤波器比FIR滤波器能以更少的阶数满足指标的某些要求。在了解了不同滤波器的优缺点之后,有必要针对人类语音的多样性使用更合适的滤波器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of FIR filter and IIR filter for human speech signal different effects
Digital filter is an important technique for human speech filter. Different digital filters produce different filtering effects. In this paper, by using MATLAB programming tools to design a variety of FIR digital filters and IIR digital filters, by observing the effect of the voice signal in different filters after adding noise. It is concluded that IIR filter has less computation and infinite impulse response to the human speech signal, and it has good stability and is clearer than FIR digital filter after many auditions. Under the same technical index, IIR filter can meet some requirements of the index with fewer orders than the FIR filter because of the feedback of output to input. After understanding the advantages and disadvantages of different filters, it is necessary to use a more appropriate filter for the variety of human speech.
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