DocumentCode
302125
Title
Pitch determination and speech segmentation using the discrete wavelet transform
Author
Wendt, Christopher ; Petropulu, Athina P.
Author_Institution
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Volume
2
fYear
1996
fDate
12-15 May 1996
Firstpage
45
Abstract
Pitch determination and speech segmentation are two important parts of speech recognition and speech processing in general. This paper proposes a time-based event detection method for finding the pitch period of a speech signal. Based on the discrete wavelet transform, it detects voiced speech, which is local in frequency, and determines the pitch period. This method is computationally inexpensive and through simulations and real speech experiments we show that it is both accurate and robust to noise
Keywords
speech processing; speech recognition; wavelet transforms; discrete wavelet transform; pitch determination; pitch period; speech processing; speech recognition; speech segmentation; time-based event detection method; voiced speech; Continuous wavelet transforms; Discrete wavelet transforms; Frequency; Signal analysis; Signal processing; Speech analysis; Speech enhancement; Speech processing; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-3073-0
Type
conf
DOI
10.1109/ISCAS.1996.540348
Filename
540348
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