An Effective Approach for Speech Enhancement by Multi-band MMSE Spectral Subtraction

Published in: 2007

Abstract

This paper presents an effective single-channel speech enhancement algorithm that combines the merits of multi-band analysis and minimum-mean-squared-error (MMSE) spectral subtraction. Conventional spectral subtraction algorithm advocates subtraction of the noise spectrum estimate over the entire speech spectrum. Taking that most real-world noise are colored with a nonuniform spectrum into account, we introduce a scale factor which reflects the difference of noise influence in different bands to reduce the color noise. Evaluation results show that our approach can achieve a more significant noise reduction for both white and color noise as compared to existing spectral subtraction speech enhancement algorithm.

Type
Publication
In 2007 International Conference on Natural Language Processing and Knowledge Engineering
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Ning Cheng
Ning Cheng
Director