Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Patrick Corcoran ; Arnold Hensman and Barry Kirkpatrick

Affiliation: TU Dublin, Blanchardstown Campus, Dublin, Ireland

Keyword(s): Glottal Flow, Parkinson’s Disease, Speech.

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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.15.31.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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) - BIOSIGNALS; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 116-123. DOI: 10.5220/0007259701160123

@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) - BIOSIGNALS},
year={2019},
pages={116-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007259701160123},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOSIGNALS
TI - Glottal Flow Analysis in Parkinsonian Speech
SN - 978-989-758-353-7
IS - 2184-4305
AU - Corcoran, P.
AU - Hensman, A.
AU - Kirkpatrick, B.
PY - 2019
SP - 116
EP - 123
DO - 10.5220/0007259701160123
PB - SciTePress