摘要： 传统谱减法是基于短时傅里叶变换的单一分辨率算法，具有较大方差。为此，提出一种基于小波包分解下的多窗谱估计语音增强算法。将含噪语音在小波包下分解成不同频段，在不同频段下进行多窗谱谱减运算，并逐一进行小波包重构，以得到去噪后的语音信号。仿真结果表明，该算法能提高含噪语音的信噪比，降低语言失真度。

关键词: 谱减法, 多窗谱, 小波包分解, 噪声, 信噪比

Abstract: Traditional spectral subtraction based on Short Time Fourier Transform(STFT) is a kind method of single resolution, and has large variance. In order to solve this problem, this paper proposes a speech enhancement algorithm of multiple window spectrum estimation under wavelet packet decomposition. It decomposes the noisy speech signal into different frequency band under wavelet packet, does take the spectral subtraction operation of multiple window under different frequency, and does the wavelet packet reconstruction to get denoising speech signal. Simulation result shows that this algorithm can improve the speech Signal Noise Ratio(SNR) with noise, and improve the speech distortion degree.

Key words: spectral subtraction, multiple window spectrum, wavelet packet decomposition, noise, Signal Noise Ratio(SNR)

中图分类号: 

• TN912