NDLI: Automatic evaluation of articulatory disorders in Parkinson's disease

Please wait, while we are loading the content...

Automatic evaluation of articulatory disorders in Parkinson's disease

Content Provider	ACM Digital Library
Author	Novotný, Michal Rusz, Jan Růžička, Evžen Čmejla, Roman
Copyright Year	2014
Abstract	Although articulatory deficits represent an important manifestation of dysarthria in Parkinson's disease (PD), the most widely used methods currently available for the automatic evaluation of speech performance are focused on the assessment of dysphonia. The aim of the present study was to design a reliable automatic approach for the precise estimation of articulatory deficits in PD. Twenty-four individuals diagnosed with de novo PD and twenty-two age-matched healthy controls were recruited. Each participant performed diadochokinetic tasks based upon the fast repetition of /pa/-/ta/-/ka/ syllables. All phonemes were manually labeled and an algorithm for their automatic detection was designed. Subsequently, 13 features describing six different articulatory aspects of speech including vowel quality, coordination of laryngeal and supralaryngeal activity, precision of consonant articulation, tongue movement, occlusion weakening, and speech timing were analyzed. In addition, a classification experiment using a support vector machine based on articulatory features was proposed to differentiate between PD patients and healthy controls. The proposed detection algorithm reached approximately 80% accuracy for a 5 ms threshold of absolute difference between manually labeled references and automatically detected positions. When compared to controls, PD patients showed impaired articulatory performance in all investigated speech dimensions $(\textit{p}$ < 0.05). Moreover, using the six features representing different aspects of articulation, the best overall classification result attained a success rate of 88% in separating PD from controls. Imprecise consonant articulation was found to be the most powerful indicator of PD-related dysarthria. We envisage our approach as the first step towards development of acoustic methods allowing the automated assessment of articulatory features in dysarthrias.
Starting Page	1366
Ending Page	1378
Page Count	13
File Format	PDF
ISSN	23299290
e-ISSN	23299304
DOI	10.1109/TASLP.2014.2329734
Volume Number	22
Issue Number	9
Journal	IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Parkinson's disease Acoustic analysis Automatic segmentation Diadochokinetic task Hypokinetic dysarthria Speech disorders
Content Type	Text
Resource Type	Article
Subject	Instrumentation Computational Mathematics Signal Processing Electrical and Electronic Engineering Acoustics and Ultrasonics Speech and Hearing Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic Evaluation of Articulatory Disorders in Parkinson’s Disease

Speaker-adaptive acoustic-articulatory inversion using cascaded Gaussian mixture regression

HMM-based speech segmentation: improvements of fully automatic approaches

Multiview Soundfield Imaging in the Projective Ray Space

Unsupervised word segmentation and lexicon discovery using acoustic word embeddings

Chinese-English Phone Set Construction for Code-Switching ASR Using Acoustic and DNN-Extracted Articulatory Features

Chinese-English phone set construction for code-switching ASR using acoustic and DNN-extracted articulatory features

Selection of optimal parameters for automatic analysis of speech disorders in Parkinson's disease

Multiview soundfield imaging in the projective ray space

Automatic evaluation of articulatory disorders in Parkinson's disease

Similar Documents

Automatic Evaluation of Articulatory Disorders in Parkinson’s Disease

Speaker-adaptive acoustic-articulatory inversion using cascaded Gaussian mixture regression

HMM-based speech segmentation: improvements of fully automatic approaches

Multiview Soundfield Imaging in the Projective Ray Space

Unsupervised word segmentation and lexicon discovery using acoustic word embeddings

Chinese-English Phone Set Construction for Code-Switching ASR Using Acoustic and DNN-Extracted Articulatory Features

Chinese-English phone set construction for code-switching ASR using acoustic and DNN-extracted articulatory features

Selection of optimal parameters for automatic analysis of speech disorders in Parkinson's disease

Multiview soundfield imaging in the projective ray space

Automatic evaluation of articulatory disorders in Parkinson's disease