摘要
谱减法是最常用的一种语音增强技术,其特点是计算复杂度低、实时性强、易于实现。其缺点是在低信噪比时,极易丢失语音信号中有用信息,与此同时引入了"音乐噪声"。而小波分析具有"数学显微镜"之称,在降噪方面有独特优势。本文结合谱减法和小波阈值技术的优势提出了新型算法,并有效改善语音降噪效果。
Spectral subtraction method is the most frequent used as a speech -enhancement technology, which is characterized by low computational complexity, real -time strongly and easy to implement. When the SNR is low, the disadvantage is that the useful information in speech signal is easily lost and at the same time the “musical noise” is introduced. Wavelet analysis has the name of “mathematical micro- scope”, and it has a unique advantage in noise reduction. This paper combine the advantages of spectral subtraction with the merit of wavelet threshold and come up with a new arithmetic. It has an effect upon reducing noise.
出处
《煤炭技术》
CAS
北大核心
2013年第1期171-173,共3页
Coal Technology
关键词
谱减法
语音增强
音乐噪声
小波阈值
spectral subtraction method
speech - enhancement
musical noise
wavelet threshold
