Title :
A Method Combining LPC-Based Cepstrum and Harmonic Product Spectrum for Pitch Detection
Author :
Ding, Hui ; Qian, Bo ; Li, Yanping ; Tang, Zhenmin
Author_Institution :
Nanjing University of S&T, China; JiaXing University, China
Abstract :
A novel method of pitch detection, combining LPCbased Cepstrum and Harmonic Product Spectrum (HPS), has been proposed. The interaction between the vocal tract and the glottal excitation disturb the detection from glottal excitation, so we use Linear Prediction Residual to eliminate the vocal tract information and the high frequency noise which can improve the accurate to some extent. In real world, when the speech signal has been transmitted through the telephone system, low frequency including pitch information have been cut off which can significantly attenuate the detection of fundamental pitch frequency. In this paper, we use the novel method combining LPC-based Cepstrum and HPS to deal with this problem and pitch errors. Experiment studied indicates that this novel method is effective and valuable for application in pitch detection, since it robustly handles different frequency domain noise and pitch errors.
Keywords :
Cepstral analysis; Cepstrum; Frequency domain analysis; Frequency estimation; Linear predictive coding; Low-frequency noise; Noise robustness; Speech analysis; Speech processing; Speech synthesis;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
Conference_Location :
Pasadena, CA, USA
Print_ISBN :
0-7695-2745-0
DOI :
10.1109/IIH-MSP.2006.265059