A Pitch Detection Algorithm Based on Linear Prediction Residual Cepstrum
JIN XueCheng1,2, WANG ZengFu1
1.Department of Automation, University of Science and Technology of China, Hefei 230027 2.Dispatching Center, Jiangxi Electric Power Corporation, Nanchang 330077
Abstract：An algorithm based on the linear prediction (LP) residual cepstrum for pitch detection is presented. The cepstrum of linear prediction residual of the speech signal is used to be the information for pitch determination. Voicing decisions are made based on a decision function consisting of prediction residual cepstral peak, energy and zerocrossing rate of shorttime segments of the speech signal. By this decision function the procedure of voicing decision is greatly simplified and the accuracy of voiced/unvoiced classification is improved significantly. Based on the consecution of pitch, a peak relocation method is introduced in the process of pitch determination to resolve the problems of pitch doubling and pitch halving. The results of the contrast experiment show that the proposed algorithm not only obtains a considerable improvement compared with the conventional cepstrum method, but also performs better than YIN estimator and multiscale wavelet method, which are effective admittedly.
金学成，汪增福. 基于线性预测残差倒谱的基音周期检测[J]. 模式识别与人工智能, 2008, 21(1): 104-110.
JIN XueCheng, WANG ZengFu. A Pitch Detection Algorithm Based on Linear Prediction Residual Cepstrum. , 2008, 21(1): 104-110.
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2008, Vol. 21 
