摘要
针对传统谱减法会产生"音乐噪声"及在低噪比环境下降噪效果不理想的问题,提出一种基于语谱图分析的语音增强算法。所提方法先对带噪语音进行谱减处理,再通过语谱图分析对处理后的语音信号进行去小亮块处理,即对"音乐噪声"进行有效的削弱,最后通过设置阈值,滤除低灰度值的成份,即消除残留近似高斯噪声。实验结果表明,提出的算法可以有效地解决谱减法后残留的"音乐噪声"及低信噪比下谱减法残留噪声较大的问题。
Aiming at the musical noise produced by classical spectral subtraction algorithm which doesn＇ t work well in low SNR, the algorithm of speech enhancement based on spectrogram is proposed. Therefore, the steps of the speech enhance- ment algorithm based on speech spectrogram are as follows： Firstly, enhance the original speech by spectral subtraction al- gorithm. Secondly, weaken the musical noise by eliminate the small light blocks through the spectrogram analysis. Finally, eliminate the residual approximate gauss noise by setting a threshold to filter low gray level components. The experimental re- suits show that the proposed algorithm can effectively solve the problem that large musical noise and other noises are re- mained after spectral subtraction in low SNR.
出处
《电声技术》
2012年第9期44-48,共5页
Audio Engineering
关键词
语音增强
语谱图
谱减法
音乐噪声
端点检测
speech enhancement
speech spectrogram
spectral subtraction algorithm
musical noise
endpoint detection
