Speech enhancement using bionic wavelet transform and adaptive threshold function

Yang Xi, Liu Bing-wu, Yan Fang
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引用次数: 2

Abstract

By the use of the Bionic Wavelet Transform and adaptive threshold function, this paper presents an improved wavelet-based speech enhancement method, Adaptive Bionic Wavelet Speech Enhancement. Due to the integration of human auditory system model into the wavelet transform, the main advantage of the proposed method is that the over thresholding of speech segments which is usually occurred in conventional wavelet-based speech enhancement schemes can be avoided. Then it can track the variation of noisy speech without the estimation of the a priori knowledge of SNR. As a consequence, the enhanced speech quality of the proposed method can be increased substantially from those of conventional approaches.
基于仿生小波变换和自适应阈值函数的语音增强
利用仿生小波变换和自适应阈值函数,提出了一种改进的基于小波的语音增强方法——自适应仿生小波语音增强。由于将人听觉系统模型集成到小波变换中,该方法的主要优点是避免了传统基于小波的语音增强方案中经常出现的语音段过阈值问题。然后在不估计信噪比先验知识的情况下,对含噪语音的变化进行跟踪。因此,与传统方法相比,该方法的语音质量得到了显著提高。
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