关键词: 语音增强, 维纳滤波, 离散余弦变换, 自适应处理

Abstract: Acoustic signal is difficult to be extracted under noise with strong background non-stationary noise, a Wiener filtering method is proposed at DCT domain. The paper details segmentation steps between the voiceless and voiced, to give the SNR iterative update method and the concrete implementation plan on DCT domain spectrum, to design the two-dimension Wiener filtering on DCT domain. Experimental simulation shows that the algorithm can effectively denoise and filter, improve the intelligibility, and is robust in different noise environment and SNR conditions. The algorithm computational cost is small, easy to realize.

Key words: speech enhancement, Wiener filtering, discrete cosine transform, adaptive processing