语音增强方法的比较分析

Pankai Gael, M. Chandra, P. Saxena, V. Gupta
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引用次数: 4

摘要

本文对不同噪声环境下的语音增强方法进行了比较分析。用汽车噪声和F16噪声干扰的语音信号进行分析。在频域实现了基于谱减法、迭代谱减法、几何法和维纳滤波的方法,以及两步降噪(TSNR)和谐波再生降噪(HRNR)方法来增强语音。仿真在MATLAB7.3上完成。在-10dB输入信噪比水平下,HRNR对汽车噪声的信噪比最大提高35.77dB,对F16噪声的信噪比最大提高30.54dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative analysis of speech enhancement methods
In this paper, comparative analysis of various speech enhancement methods in different noisy environments is presented. Speech signal corrupted with car noise and F16 noise is used for analysis. Spectral Subtraction, Iterative Spectral Subtraction, Geometrical Approach and Wiener filtering based methods, TSNR (Two Step Noise Reduction) and HRNR (Harmonic Regeneration Noise Reduction) methods are implemented in frequency domain for speech enhancement. Simulations are done on MATLAB7.3. The HRNR gives a maximum 35.77dB improvement in SNR for car noise and a maximum 30.54dB improvement in SNR for F16 noise at -10dB input SNR level.
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