Speech processing using higher order statistics

Ines Jebali Gdoura, Philipos Loizou, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper examines the potential use of third-order statistics (TOS) in speech processing applications. In particular, we consider a source-system speech representation and an analysis algorithm that computes the autoregressive (AR) parameters of speech from its third-order cumulants. The TOS-based AR estimates are compared with those obtained using second order statistics. Results are given for voiced and unvoiced speech segments which are corrupted by additive Gaussian noise. The TOS-based AR estimation algorithm is also used to estimate the parameters of the short-term prediction filter of a code excited linear prediction (CELP) algorithm.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages160-163
Number of pages4
ISBN (Print)0780312813
StatePublished - Jan 1 1993
Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
Duration: May 3 1993May 6 1993

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume1
ISSN (Print)0271-4310

Other

Other1993 IEEE International Symposium on Circuits and Systems
CityChicago, IL, USA
Period5/3/935/6/93

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Gdoura, I. J., Loizou, P., & Spanias, A. (1993). Speech processing using higher order statistics. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 160-163). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1). Publ by IEEE.