Title :
Pitch estimation of Marathi spoken numbers in various speech signals
Author :
Nimbhore, S.S. ; Ramteke, G.D. ; Ramteke, R.J.
Author_Institution :
Dept. of Comput. Sci. & IT, Dr. Babasaheb Ambedkar Marathwada Univ., Aurangabad, India
Abstract :
This paper describes pitch estimation of Marathi spoken numbers which are extracted the features from various speech signals. The speech frequencies of Marathi spoken numbers are acquired by various male and female speakers. The pitch frequencies are normalized using PRAAT tool. The pitch contours are compared with pitch detector. The autocorrelation and cepstral methods are used to estimate speech frequency. Pitch detection is calculated by statistical methods and similarity is measured by Euclidian distance. The pitch frequency results found to be satisfactory. The average mean of frequency varies from 1.48 to 2.03 and standard deviation varies from 0.84 to 1.38 in Hz.
Keywords :
natural language processing; speech processing; statistical analysis; Marathi spoken numbers; PRAAT tool; pitch estimation; speech frequencies; speech frequency; speech signals; statistical methods; Cepstrum; Correlation; Detection algorithms; Educational institutions; Frequency estimation; Speech; Autocorrelation and Cepstral; Pitch; Pitch Detection Algorithm; Speech Synthesis;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
DOI :
10.1109/iccsp.2013.6577084