DocumentCode
3474751
Title
Pitch detection in time, frequency and cepstral domain for articulatory handicapped people
Author
Bhabad, Sanjivani S. ; Kharate, G.K. ; Stunde, Smita C.
Author_Institution
Electron. & Telecommun., R.S.C.O.E., Pune, India
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
80
Lastpage
84
Abstract
Pitch is an important parameter of speech. A good estimation of pitch period is crucial to the performance of speech analysis and synthesis system. This paper describes autocorrelation and AMDF method for pitch detection in time domain. FFT, spectral autocorrelation method in frequency domain and cepstral domain algorithm for pitch detection. Voiced and unvoiced part of the speech is separated for further speech processing using pitch. Results are obtained for database of articulatoy handicapped people.
Keywords
handicapped aids; speech synthesis; AMDF method; FFT; articulatory handicapped people; cepstral domain; frequency domain; pitch detection; spectral autocorrelation method; speech analysis; speech parameter; speech processing; synthesis system; time domain; Cepstral analysis; Conferences; Decision support systems; Technological innovation; Pitch; cepstral domain; frequency; time; unvoiced; voiced;
fLanguage
English
Publisher
ieee
Conference_Titel
MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
Conference_Location
Jaipur
Print_ISBN
978-1-4799-1625-2
Type
conf
DOI
10.1109/MITE.2013.6756310
Filename
6756310
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