基于相位调制特征的语音活动检测

针对现有语音活动检测特征易受各种环境噪声影响而导致检测性能恶化的问题, 提出基于相位调制特征的语音活动检测算法。相位调制特征能充分表征语音动态特性, 与静态特征相比, 更能体现语音和噪声间的差异, 从而保证良好检测性能。与传统美尔频率倒谱系数特征的检测对比实验结果表明, 相位调制特征明显优于美尔频率倒谱系数。

Voice Activity Detection Based on Phase Modulation Feature

Addressing the problems that the existing features of voice activity detection is susceptible to interference of various environmental noise, this paper proposes an algorithm using PM(Phase-Modulation) based feature. The feature of phase modulation is capable of fully characterizing the speech dynamic. And compared with the static features, it can more efficiently presents the difference between speech and noise to a higher degree which is the key for the well performed detection. The experimental results of voice activity detection using phase modulation feature and MFCC(Mel Frequency Cepstrum Coefficient) show that phase modulation feature is obviously better than MFCC.