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
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;
Conference_Titel :
MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-1625-2
DOI :
10.1109/MITE.2013.6756310