The voice segment type determination using the autocorrelation compared to cepstral method

Authors:
Oldřich Horák
Affiliations:
Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic
Venue:
WSEAS Transactions on Signal Processing
Year:
2012

Citing 3
Cited 0

Pitch estimation for musical sound including percussion sound using comb filters and autocorrelation function

AMTA'07 Proceedings of the 8th WSEAS international conference on Acoustics & music: theory & applications
A multiresolution information measure approach to speech recognition

SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Speech and speaker recognition for the command of an industrial robot

MMACTEE'10 Proceedings of the 12th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The extraction of the characteristic features of the speech is the important task in the speaker recognition process. One of the basic features is fundamental frequency of speaker's voice, which can be extracted from the voiced segment of the speech signal. This document describes one of the methods providing possibility to distinguish the voiced and surd segments of the voice signal using the autocorrelation, and compare the results to cepstral method.