Assessing Speech Intelligibility and Severity Level in Parkinson's Disease Using Wav2Vec 2.0

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00376500" target="_blank" >RIV/68407700:21460/24:00376500 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TSP63128.2024.10605915" target="_blank" >https://doi.org/10.1109/TSP63128.2024.10605915</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP63128.2024.10605915" target="_blank" >10.1109/TSP63128.2024.10605915</a>

Result language
angličtina
Original language name
Assessing Speech Intelligibility and Severity Level in Parkinson's Disease Using Wav2Vec 2.0
Original language description
Parkinson's disease (PD) is characterized by profound speech and intelligibility impairments. This paper investigates the potential of Wav2Vec 2.0, a pre-trained speech transformer-based model, in assessing speech intelligibility and severity levels in PD. By leveraging Wav2Vec 2.0 cross-language capabilities, we deployed an English model on Italian speech data and evaluated Character Error Rate (CER). Our dataset comprised Young Healthy Controls (YHC), Elderly Healthy Controls (EHC), and PD subjects. A significant difference in the mean CER (non-parametric ANOVA; p < 0.001) was observed, with YHC being significantly different from EHC and PD. Our analysis revealed that intelligibility in the PD group did not correlate significantly with Unified Parkinson's Disease Rating Scale (UPDRS) scores (Spearman's rho = 0.37, p = 0.07). Through Z-score based detection, we were able to identify the most affected PD subjects based on their intelligibility and ranked the words that were incorrectly recognized for these individuals.
Czech name
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Czech description
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Project
<a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2024 47th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
979-8-3503-6559-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
231-234
Publisher name
IEEE
Place of publication
Montreal
Event location
Virtual Conference
Event date
Jun 10, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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