基于小波变换的语音增强

E. Ambikairajah, G. Tattersall, A. Davis
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引用次数: 31

摘要

本文介绍了一种将快速小波变换结构与小波域“维纳滤波”相结合的语音增强系统。我们感兴趣的具体应用是在移动车辆中使用移动电话时增强语音。在信噪比为10 dB的情况下,对带有车辆噪声的语音进行了主观测试,结果表明基于小波变换的维纳滤波方法效果良好。特别地,将该技术与其他几种常见的增强方法(如小波域应用的阈值分割、基于fft的维纳滤波和谱减法)进行了比较,发现该技术的性能优于其他技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet transform-based speech enhancement
This paper describes a speech enhancement system using a novel combination of a Fast Wavelet Transform structure, together with “Wiener filtering” in the wavelet domain. The specific application of interest is the enhancement of speech when a cellular phone is used within a moving vehicle. Subjective tests carried out using speech with additive vehicle noise at a signal-to-noise ratio of 10 dB indicate that the Wavelet transform-based Wiener filtering approach works well. In particular, the technique was compared to several other common enhancement methods such as thresholding applied in the wavelet domain, FFT-based Wiener filtering, and spectral subtraction, and was found to outperform these other techniques.
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