结合改进自相关与加权小波分量的基音检测法

Pitch detection method combined improved ACF with weighted wavelet components

自相关函数法和小波变换法是经典的基音检测方法,在简要分析单独使用它们进行基音检测存在不足的基础上,提出一种结合改进自相关与加权小波分量的检测方法。采用改进自相关函数对传统自相关函数进行幅度补偿以弥补传统自相关函数随滞后时间增加导致幅度衰减的缺陷;将多级小波变换分量加权求和以突出语音的基音信息,然后将两种方法结合突出真实基音周期处的峰值。实验结果表明,与传统的自相关函数法和小波变换法相比,两者结合的方法减少了倍频、半频及伪随机点的错误,提高了基音检测的精度。

Autocorrelation function method and wavelet transform are the classical pitch detection methods. The shortcomings of these methods are analyzed when they are used alone, on the basis of this, a new method combining improved autocorrelation function with weighted wavelet components is proposed. The improved autocorrelation function is used to compensate for the peaks of the traditional autocorrelation function. The components of multilevel wavelet transform are weighted to emphasize the fundamental frequency information. And then the two methods are combined to emphasize the peak at the position of the true pitch period. Experimental results show that compared with the classical methods, the method can decrease double frequency errors, half frequency errors and pseudo random point errors, the precision of the pitch detection is improved.