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

Sofia Ben Jebara

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Paper

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

Topics: Acoustic Signal Processing; Medical Signal Acquisition, Analysis and Processing

In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 0BIOSTEC, 99-104, 2013 , Barcelona, Spain

Author: Sofia Ben Jebara

Affiliation: Carthage University, Tunisia

Keyword(s): Speech Production Mechanism, Perceptual Audition Process, Classification, Healthy/Esophageal Speech.

Related Ontology Subjects/Areas/Topics: Acoustic Signal Processing ; Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

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.

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Paper citation in several formats:

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 (BIOSTEC 2013) - BIOSIGNALS; ISBN 978-989-8565-36-5; ISSN 2184-4305, SciTePress, pages 99-104. DOI: 10.5220/0004181500990104

@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 (BIOSTEC 2013) - BIOSIGNALS},
year={2013},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004181500990104},
isbn={978-989-8565-36-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS
TI - Healthy/Esophageal Speech Classification using Features based on Speech Production and Audition Mechanisms
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Ben Jebara, S.
PY - 2013
SP - 99
EP - 104
DO - 10.5220/0004181500990104
PB - SciTePress