基于正交变换的基音检测算法

Pitch Detection Algorithm Based on Orthogonal Transform

针对随机背景噪声下的基音周期检测,提出了一种基于正交变换的基音检测算法。该算法通过正交变换对含噪的语音进行消噪,再求消噪后语音的自相关函数(ACF)和平均幅度差函数(AMDF),对其求出比值(ACF/AMDF)的平方以突显基音周期的峰值,以便获取较准确的基音周期参数。实验结果表明,与单一的自相关法和平均幅度差函数法相比,该算法获取的基音周期有较高的准确性和对噪声有较强的鲁棒性。

Aiming at pitch period detection under random background noise,a kind of pitch detection algorithm based on orthogonal transform is put forward. Noisy speech signal was first preprocessed by orthogonal transform, the autocorrelation function(ACF) and the average magnitude difference function(AMDF) for speech signal were obtained. The square of the ratio for ACF and AMDF had been applied to emphasize the peak of the true pitch period. This algorithm can get the exact pitch of the speech signal in strong noisy environment. Experimental results indicate that, compared with single autocorrelation and average magnitude difference method, the proposed algorithm has better robustness and higher accuracy.