Cepstral Analysis and Hilbert-Huang Transform for Automatic Detection of Parkinson’s Disease
Open Access
- 30 January 2020
- journal article
- Published by Instituto Tecnologico Metropolitano (ITM) in TecnoLógicas
- Vol. 23 (47), 93-108
- https://doi.org/10.22430/22565337.1401
Abstract
Most patients with Parkinson’s Disease (PD) develop speech deficits, including reduced sonority, altered articulation, and abnormal prosody. This article presents a methodology to automatically classify patients with PD and Healthy Control (HC) subjects. In this study, the Hilbert-Huang Transform (HHT) and Mel-Frequency Cepstral Coefficients (MFCCs) were considered to model modulated phonations (changing the tone from low to high and vice versa) of the vowels /a/, /i/, and /u/. The HHT was used to extract the first two formants from audio signals with the aim of modeling the stability of the tongue while the speakers were producing modulated vowels. Kruskal-Wallis statistical tests were used to eliminate redundant and non-relevant features in order to improve classification accuracy. PD patients and HC subjects were automatically classified using a Radial Basis Support Vector Machine (RBF-SVM). The results show that the proposed approach allows an automatic discrimination between PD and HC subjects with accuracies of up to 75 % for women and 73 % for men.Keywords
This publication has 18 references indexed in Scilit:
- NeuroSpeech: An open-source software for Parkinson's speech analysisDigital Signal Processing, 2018
- Automatic Detection of Parkinson’s Disease Based on Modulated VowelsPublished by International Speech Communication Association ,2016
- Listener Perception of Monopitch, Naturalness, and Intelligibility for Speakers With Parkinson's DiseaseJournal of Speech, Language, and Hearing Research, 2015
- Imprecise vowel articulation as a potential early marker of Parkinson's disease: Effect of speaking taskThe Journal of the Acoustical Society of America, 2013
- Vowel Articulation in Parkinson's DiseaseJournal of Voice, 2011
- A review on Hilbert‐Huang transform: Method and its applications to geophysical studiesReviews of Geophysics, 2008
- Description of Parkinson's Disease as a Clinical SyndromeAnnals of the New York Academy of Sciences, 2003
- Signatures of the Seismic Source in EMD-Based Characterization of the 1994 Northridge, California, Earthquake RecordingsBulletin of the Seismological Society of America, 2003
- Toward Phonetic Intelligibility Testing in DysarthriaJournal of Speech and Hearing Disorders, 1989
- Frequency and Cooccurrence of Vocal Tract Dysfunctions in the Speech of a Large Sample of Parkinson PatientsJournal of Speech and Hearing Disorders, 1978