Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients
Argüello-Vélez P, Arias-Vergara T, González-Rátiva MC, Orozco-Arroyave JR, Nöth E, Schuster ME (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 12284 LNAI
Pages Range: 303-311
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Brno
ISBN: 9783030583224
DOI: 10.1007/978-3-030-58323-1_33
Abstract
Voice Onset Time (VOT) has been used as an acoustic measure for a better understanding of the impact of different motor speech disorders in speech production. The purpose of our paper is to present a methodology for the manual measuring of VOT in voiceless plosive sounds and to analyze its suitability to detect specific articulation problems in Parkinson’s disease (PD) patients. The experiments are performed with recordings of the diadochokinetic evaluation which consists in the rapid repetition of the syllables /pa-ta-ka/. A total of 50 PD patients and 50 healthy speakers (HC) participated in this study. Manual measurements include VOT values and also duration of the closure phase, duration of the consonant, and the maximum spectral energy during the burst phase. Results indicate that the methodology is consistent and allows the automatic classification between PD patients and healthy speakers with accuracies of up to $$77\,\%$$.
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Germany (DE)
Colombia (CO)How to cite
APA:
Argüello-Vélez, P., Arias-Vergara, T., González-Rátiva, M.C., Orozco-Arroyave, J.R., Nöth, E., & Schuster, M.E. (2020). Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients. In Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 303-311). Brno, CZ: Springer Science and Business Media Deutschland GmbH.
MLA:
Argüello-Vélez, Patricia, et al. "Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients." Proceedings of the 23rd International Conference on Text, Speech, and Dialogue, TSD 2020, Brno Ed. Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák, Springer Science and Business Media Deutschland GmbH, 2020. 303-311.
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