噪声环境下的基音检测在语音信号分析和识别中占有重要地位.自相关法和平均幅度差函数是两种常用的基音检测方法.结合两种方法,提出了一种有效的噪声环境下基音检测方法.实验表明,该方法是可行的,与传统方法相比鲁棒性好,特别适用于信噪比较低的情况.

Pitch detection in noisy environment plays an important role in speech analyzing and recognition. Autocorrelation and average magnitude difference function are essential methods in pitch detection. A novel and effective method combining them is proposed. By simulation experiments, it is shown that the proposed pitch extraction method is feasible. It behaves more robustly than the conventional methods, especially effective at low signal－to－noise ratio.