DocumentCode
1191886
Title
Application of the wavelet transform for pitch detection of speech signals
Author
Kadambe, S. ; Boudreaux-Bartels, G.F.
Author_Institution
Appl. Sci. & Eng. Lab., A.I. duPont Inst., Wilmington, DE, USA
Volume
38
Issue
2
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
917
Lastpage
924
Abstract
An event-detection pitch detector based on the dyadic wavelet transform is described. The proposed pitch detector is suitable for both low-pitched and high-pitched speakers and is robust to noise. Examples are provided that demonstrate the superior performance of the pitch detector in comparison with classical pitch detectors that use the autocorrelation and the cepstrum methods to estimate the pitch period.<>
Keywords
signal detection; speech analysis and processing; transforms; dyadic wavelet transform; event-detection pitch detector; pitch detection; pitch period; speech signals; Detectors; Event detection; Maximum likelihood detection; Natural languages; Signal detection; Signal synthesis; Signal to noise ratio; Speech analysis; Speech synthesis; Wavelet transforms;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.119752
Filename
119752
Link To Document