Speech Pitch Detection Algorithm Based on Modified Cepstrum Model
Zhenyang Wu · Journal of Nanjing University of Science and Technology · 2007
An improved speech pitch detection algorithm based on modified cepstrum model is proposed.In the proposed algorithm,a ten-order LPC(linear predictive coding) analysis is performed on a segmented speech,and the segmented speech is filtered by the inverse filter to give the LPC predictive residual.The cepstrum of the predictive residual is calculated with the simple method of the high frequency spectral components of DFT being set to zero.The pitch period of the voiced speech is extracted from the cepstrum of predictive residual.The simulated pitch detection results show that the pitch extraction error of the proposed algorithm is significantly lower than that of the conventional cepstrum based algorithm both for clean speech and different noisy speech.The performance of the proposed algorithm is also much better than that of the average magnitude difference function based pitch detection algorithm and slightly better than that of the basic autocorrelation function based algorithm.