Title :
A new pitch detection method
Author :
Zhijin, Zhao ; Jie, Wu
Author_Institution :
Hongzhou Inst. of Electron. of Eng., China
Abstract :
In the light of the properties of wavelet transform and higher-order statistics, a new pitch detection algorithm with the combination of wavelet transform and third-order statistics is proposed. For the low signal-to noise ratio (SNR). It can detect pitch period more accurately, compared with other methods. The choosing of the scaling factor and the threshold factor K are studied. The simulation results show that the threshold factor K has less effect on the result of pitch detection
Keywords :
higher order statistics; noise; signal detection; speech processing; wavelet transforms; SNR; higher-order statistics; low signal-to noise ratio; pitch detection algorithm; pitch detection method; scaling factor; simulation results; third-order statistics; threshold factor; wavelet transform; Discrete wavelet transforms; Gaussian noise; Higher order statistics; Signal to noise ratio; Speech analysis; Speech coding; Speech enhancement; Speech synthesis; Wavelet transforms; Working environment noise;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891619
