DocumentCode :
390480
Title :
A pitch detector based on the dyadic wavelet transform and the autocorrelation function
Author :
Jing, Li ; Changchun, Bao
Author_Institution :
Electron. Inf. & Control Eng. Coll., Beijing Polytech. Univ., China
Volume :
1
fYear :
2002
fDate :
26-30 Aug. 2002
Firstpage :
414
Abstract :
The interest in real-time, low-bit-rate speech coding dictates current research efforts in speech signal compression. This paper describes a pitch detection method based on the dyadic wavelet transform and the autocorrelation function (ACF). The proposed pitch detector ensures smooth pitch trajectory evolution. Experiments show the performance of the wavelet- and ACF-based pitch detector is superior to that of conventional pitch detectors that use the ACF method to estimate the pitch period.
Keywords :
computational complexity; correlation methods; speech coding; transform coding; wavelet transforms; autocorrelation function; computational complexity; dyadic wavelet transform; low-bit-rate coding; pitch detection; smooth pitch trajectory evolution; speech coding; speech compression; Autocorrelation; Control engineering; Detectors; Discrete wavelet transforms; Educational institutions; Signal processing; Speech coding; Spline; State estimation; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
Type :
conf
DOI :
10.1109/ICOSP.2002.1181078
Filename :
1181078
Link To Document :
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