摘要
噪声环境下语音端点检测的难度会大大提高,递归分析是一种非线性动力学分析方法,可以更好地表示语音特征,应用消除趋势项的递归分析法对带噪语音进行分析,实现带噪语音的起止点检测。通过对比传统的谱熵端点检测法,针对在信噪比为0d B与-5d B的语音信号进行仿真,结果表明,递归分析端点检测法能更好地分割语音段与噪声段。
In this paper,the recursive analysis method is used to analyze the noisy speech. It is a nonlinear dynamic analysis method and can better represent the voice features. The recursive analysis method that can eliminate the trend item is applied to the analysis of the noisy speech,w hich can detect the start and end of the noisy speech. The speech signals at SNR 0 d B and-5 d B are simulated. The results show that the recursive analysis based endpoint detection method can better segment the speech and noise comparing to the traditional spectral entropy endpoint detection method.
出处
《沈阳航空航天大学学报》
2017年第6期83-86,共4页
Journal of Shenyang Aerospace University
关键词
谱熵
递归度
端点检测
带噪语音
spectral entropy
recursive degree
endpoint detection
noisy speech
