Performance evaluation of a wavelet-based pitch detection scheme

Authors:
Sandeep Kumar;S. Bhattacharya;Vishal Dhiman;Shuvashree Mohapatra
Affiliations:
Department of Electronics & Communication Engineering, S.R. Group of Institutions, Jhansi, India;Department of Electronics Engineering, Indian School of Mines, Dhanbad, India;Department of Electronics Engineering, Indian School of Mines, Dhanbad, India;Department of Electronics Engineering, Indian School of Mines, Dhanbad, India
Venue:
International Journal of Speech Technology
Year:
2013

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Abstract

Performance evaluation, in a complete speech analysis-synthesis system, has been carried out for a wavelet-based pitch detection scheme that has been reported earlier. Speech quality, time for computation and memory consumption (for real-time implementation) are the parameters that have been considered while comparing this system with analysis-synthesis systems that use pitch detection based on autocorrelation and cepstral analysis. Results for different speech signals show that autocorrelation-based pitch detection scheme is the best in terms of speech quality and memory consumption while wavelet-based pitch detection stands in between the other two methods.