Glottal Flow Analysis in Parkinsonian Speech

Patrick Corcoran, Arnold Hensman, Barry Kirkpatrick

2019

Abstract

Speech and vocal impairments are one of the earliest symptoms of Parkinson’s disease (PD). Laryngoscope examinations have identified that patients with the disease show pathological behaviour of the vocal folds. The behaviour of the vocal folds is investigated by analysing the glottal flow waveform in Parkinsonian speech in this study. This study aims to determine the appropriate method for estimating the glottal source in PD speech and to identify glottal parameters that could be indicative of PD. An experiment was conducted to analyse a selection of glottal parameters (2 time-domain and 3 frequency-domain) measured from the glottal flow waveform estimated from speech recordings. A database of 52 healthy speakers and 44 speakers with Parkinson’s disease was considered for this experiment. Two glottal estimation techniques are considered in the experiment: iterative and adaptive inverse filtering (IAIF) and quasi-closed phase (QCP) inverse filtering. The results showed that 2 of the 5 glottal parameters (1 time domain and 1 frequency domain) produced values indicating a difference between healthy and PD speech files in the database. The results also indicate that glottal estimates from the IAIF method resulted in parameters discriminating between healthy and PD higher than glottal estimates from the QCP method.

Paper Citation

in Harvard Style

Corcoran P., Hensman A. and Kirkpatrick B. (2019). Glottal Flow Analysis in Parkinsonian Speech. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS; ISBN 978-989-758-353-7, SciTePress, pages 116-123. DOI: 10.5220/0007259701160123

in Bibtex Style

@conference{biosignals19,
author={Patrick Corcoran and Arnold Hensman and Barry Kirkpatrick},
title={Glottal Flow Analysis in Parkinsonian Speech},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS},
year={2019},
pages={116-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007259701160123},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS
TI - Glottal Flow Analysis in Parkinsonian Speech
SN - 978-989-758-353-7
AU - Corcoran P.
AU - Hensman A.
AU - Kirkpatrick B.
PY - 2019
SP - 116
EP - 123
DO - 10.5220/0007259701160123
PB - SciTePress