关键词: 实值离散Gabor变换, 噪声估计, 谱减法

Abstract: In this paper, it proposes a novel speech enhancement method based on real-value discrete Gabor transform, noisy speech is transformed to the joint time-frequency domain by fast real-value discrete Gabor transform in which the Gaussian is used as the transform kernel function. The noise spectral is estimated by the improved algorithm of minimum statics and optimal smoothing, then the speech spectral gain is got by spectral subtraction in the joint time-frequency domain, the clean speech is got by inverse transform by real-value discrete Gabor transform. Experimental results show that this method enhances the segSNR（Segmental Source-to-Noise Ratio） and improves the speech quality compared to other algorithms based on spectral subtraction.

Key words: real-value discrete Gabor transform, noise estimate, spectral subtraction