Healthy/Esophageal Speech Classification using Features based on Speech Production and Audition Mechanisms

Sofia Ben Jebara

2013

Abstract

This paper focuses on the classification of speech sequences into two classes: healthy speech and esophageal speech. Two kinds of features are selected: those based on speaker speech production mechanism and those using listener auditory system properties. Two classification strategies are used: the Discriminant Analysis and the GMM based bayesian classifier. Experiments, conducted with a large database, show classification accuracy using both features. Moreover, auditory based features are the best since error rates tend to be null.

Paper Citation

in Harvard Style

Ben Jebara S. (2013). Healthy/Esophageal Speech Classification using Features based on Speech Production and Audition Mechanisms . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 99-104. DOI: 10.5220/0004181500990104

in Bibtex Style

@conference{biosignals13,
author={Sofia Ben Jebara},
title={Healthy/Esophageal Speech Classification using Features based on Speech Production and Audition Mechanisms},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004181500990104},
isbn={978-989-8565-36-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Healthy/Esophageal Speech Classification using Features based on Speech Production and Audition Mechanisms
SN - 978-989-8565-36-5
AU - Ben Jebara S.
PY - 2013
SP - 99
EP - 104
DO - 10.5220/0004181500990104