DocumentCode :
2085530
Title :
Pitch extraction using dyadic wavelet transform and modified higher order moment
Author :
Choupan, Jeiran ; Ghorshi, Seyed ; Mortazavi, Mohammad ; Sepehrband, Farshid
Author_Institution :
Sch. of Sci. & Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2010
fDate :
11-14 Nov. 2010
Firstpage :
833
Lastpage :
836
Abstract :
Pitch detection is the process of determining the period of the vocal cords closure or in another word the time duration of one glottal closed, open and returning phase. Dyadic wavelets transform (DyWT) and modified higher order moment, which is based on the autocorrelation function, are two pitch detection methods. DyWT is an accurate pitch detection method, however it has less accuracy compared to modified higher order moment. On the other hand modified higher order moment has high computational complexity and is time consuming. In this paper, we propose a pitch detection method based on DyWT which has use modified higher order moment. Modified higher order moment is applied only in some specific parts to improve the accuracy and keep the computational complexity low. Finally, our simulations and evaluations on some speech utterances indicate that the new pitch detection method improves previous DyWT method.
Keywords :
computational complexity; speech processing; wavelet transforms; accurate pitch detection; autocorrelation function; computational complexity; dyadic wavelet transform; dyadic wavelets transform; modified higher order moment; pitch detection method; pitch extraction; speech utterances; vocal cords closure; Noise measurement; Production; Wavelet analysis; Autocorrelation function; DyWT; Pitch detection; RMSE; modified higher order moment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology (ICCT), 2010 12th IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-6868-3
Type :
conf
DOI :
10.1109/ICCT.2010.5688696
Filename :
5688696
Link To Document :
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