Acoustic Analysis of Chronic Laryngitis

João Paulo Teixeira, João Paulo Teixeira, Joana Fernandes, Filipe Teixeira, Paula Odete Fernandes, Paula Odete Fernandes, Paula Odete Fernandes

2018

Abstract

This paper describes the statistical analysis of a set of features extracted from the speech of sustained vowels of patients with chronic laryngitis and control subjects. The idea is to identify which features can be useful in a classification intelligent system to discriminate between pathologic and healthy voices. The set of features analysed consist in the Jitter, Shimmer Harmonic to Noise Ratio (HNR), Noise to Harmonic Ratio (NHR) and Autocorrelation extracted from the sound of a sustained vowels /a/, /i/ and /u/ in a low, neutral and high tones. The results showed that besides the absolute Jitter, no statistical significance exist between male and female voices, considering the classification between pathologic or healthy. Any of the analysed parameters is likely to be a statistical difference between control and Chronic Laryngitis groups. This is an important information that these features can be used in an intelligent system to classify healthy from Chronic Laryngitis voices.

Paper Citation

in Harvard Style

Teixeira J., Fernandes J., Teixeira F. and Fernandes P. (2018). Acoustic Analysis of Chronic Laryngitis. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS; ISBN 978-989-758-279-0, SciTePress, pages 168-175. DOI: 10.5220/0006586301680175

in Bibtex Style

@conference{biosignals18,
author={João Paulo Teixeira and Joana Fernandes and Filipe Teixeira and Paula Odete Fernandes},
title={Acoustic Analysis of Chronic Laryngitis},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS},
year={2018},
pages={168-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006586301680175},
isbn={978-989-758-279-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 4: BIOSIGNALS
TI - Acoustic Analysis of Chronic Laryngitis
SN - 978-989-758-279-0
AU - Teixeira J.
AU - Fernandes J.
AU - Teixeira F.
AU - Fernandes P.
PY - 2018
SP - 168
EP - 175
DO - 10.5220/0006586301680175
PB - SciTePress