摘要
基于短时能量和隐马尔夫模型端点检测方法都有一定的局限性,笔者通过研究浊音的周期性及其自相关函数通过低通滤波器后的特性,提出了基于自相关函数最大值的语音端点检测算法,实验结果表明,即使在较低信噪比情况下采用该算法仍能较准确地检测出语音信号的端点位置。
Owing to the limitation in the application of the endpoint detection method based on the short energy or hidden Markov model, a new method based on the maximum of autocorrelation function is put forward. The period of sonant and sonata＇s autocorrelation function characteristics after autocorrelation function fihered through a lowpass are studied. The experimental results show that this method can detect the voice endpoint exactly even in a low SNR environment.
出处
《电声技术》
2006年第12期47-50,共4页
Audio Engineering
关键词
端点检测
自相关
低通滤波器
endpoint detection
autocorrelation
lowpass filter
