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近年来小波理论在信号分析、处理中得到了广泛的应用,本文提出了一种自适应分段小波域语音增强(ASWE)算法,即采用局部余弦包变换对语音信号自适应分段,然后对每一段语音采用基于小波变换的语音增强处理。该方法不需要噪声的先验知识,且适合于缓慢变化的非平稳噪声,最后的仿真实验表明,该方法比直接用小波去噪效果好,是一种有效的语音增强技术。
In recent years, wavelet theory has been widely used in signal analysis and processing. In this paper, an Adaptive Partitioned Wavelet Domain Speech Enhancement (ASWE) algorithm is proposed, which uses local cosine packet transform to adaptively segment voice signals, Each paragraph of speech using wavelet-based speech enhancement processing. The proposed method does not require a priori knowledge of noise and is suitable for slowly changing nonstationary noise. Finally, the simulation results show that this method is more effective than direct wavelet denoising, which is an effective speech enhancement technique.