功率谱孤立因子构建的音乐噪声抑制算法

大部分语音增强算法都会产生一定程度的音乐噪声，音乐噪声的存在不仅影响语音可懂度，还可造成听觉疲劳。本文提出一种基于音乐噪声功率谱孤立因子的音乐噪声抑制算法。基于表征功率谱孤立程度的孤立因子而构建的音乐噪声抑制算法可以对音乐噪声进行准确识别及有效抑制。该算法具有简单、稳定、自适应的特点，且适用于所有通过估算增益因子进而修正幅度谱的语音增强算法。文章最后给出了在功率谱减法(SS)基础上加入该算法的实验对比结果，包括PESQ得分及语谱图对比。 

Musical noise suppression using isolated factor of power spectrum

Most speech enhancement algorithms based on weighting gains may generate annoying musical noise in a certain degree. In this paper, we propose a correction factor for modifying the weighting gains, which was based on the isolated factor. The isolated factor indicates the isolated degree of the local power to its neighbouring bins. The smaller isolated factor indicates the greater degree of the local power relative to its neighbouring bins. The proposed algorithm could distinguish musical noise correctly and suppress it efficiently, and could be applied to all the kinds of algorithms that basing on the weighing spectral gains. PESQ test and SegSNR improvement experiment support the conclusion.