语音增强算法及进展

The Review of Speech Enhancement Algorithms and Evolution

以时间顺序对语音增强算法进行了梳理,将其分为传统算法和新型算法。传统算法为早期形成的经典算法,如谱减法、维纳滤波法、自适应滤波法等。其特征是发展已趋于成熟,常结合其他的算法形成变体以提高增强效果;新型算法为近期发展中的潜力较大的热门算法,如基于小波变换、基于经验模态分解的语音增强算法等,其特点是弥补了传统算法的一些不足并在应用方面更为灵活,对非平稳的语音信号具有更强的自适应性。最后,在对各算法归纳分析的基础上,探讨了语音增强算法的发展趋势。

The paper sorts the contents of the speech enhancement algorithms in chronological order. The early and classi- eal algorithms are classified into the traditional. Such as the spectral subtraction, wiener filter, adaptive filter. The traditional is mature to turn into a new variant by combining with other algorithm, which can improve the method＇ s efficiency. The rep- resentative of modem algorithms contains that based on wavelet transform, empirical mode decomposition （EMD） etc. The modern mainly makes up the deficiency of the early algorithms and becomes more flexible in applying. The modem speech en- haneement algorithms are more adaptive to deal with non - stationary speech signal. So the modern becomes research hotspot in recent years. Finally, the paper suggests the way of development of speech enhancement based on many algorithms analysis.