DocumentCode
2497017
Title
A Modified Pitch Detection Method Based on Wavelet Transform
Author
Cai, Runshen ; Zhu, Yaoting ; Shi, Shaoqiang
Author_Institution
Comput. Sci. & Inf. Eng. Coll., Tianjin Univ. of Sci. & Technol., Tianjin, China
Volume
2
fYear
2010
fDate
24-25 April 2010
Firstpage
246
Lastpage
249
Abstract
There are many traditional pitch detection methods, but most of them can´t perform perfectly for different speakers, applications and environmental conditions. For this reason, a pitch detection method based on pre-filtering, wavelet transform and local maxima selection is proposed. Firstly, the speech signals are pre-filtered. Secondly, the speech signal pre-filtered is decomposed by the quadratic spline wavelet. Thirdly, the local maxima of wavelet coefficients are found and selected in several rules. Finally, the pitch period is obtained by the maxima selected. Experiments show that this method can increase the performance of pitch detection in both clean and noisy environment compared with weighted wavelet method.
Keywords
filtering theory; signal detection; speech processing; wavelet transforms; local maxima selection; modified pitch detection method; quadratic spline wavelet transform; speech signal prefiltering; wavelet coefficient; weighted wavelet method; Educational institutions; Frequency; Low pass filters; Signal processing; Speech analysis; Speech enhancement; Speech processing; Wavelet analysis; Wavelet transforms; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location
Kaifeng
Print_ISBN
978-0-7695-4008-5
Electronic_ISBN
978-1-4244-6602-3
Type
conf
DOI
10.1109/MMIT.2010.122
Filename
5474372
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