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Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects

Abstract: 

In this work, we consider the task of acoustic and articulatory feature based automatic classification of Amyotrophic Lateral Sclerosis (ALS) patients and healthy subjects using speech tasks. In particular, we compare the roles of different types of speech tasks, namely rehearsed speech, spontaneous speech and repeated words for this purpose. Simultaneous articulatory and speech data were recorded from 8 healthy controls and 8 ALS patients using AG501 for the classification experiments. In addition to typical acoustic and articulatory features, new articulatory features are proposed for classification. As classifiers, both Deep Neural Networks (DNN) and Support Vector Machines (SVM) are examined. Classification experiments reveal that the proposed articulatory features outperform other acoustic and articulatory features using both DNN and SVM classifier. However, SVM performs better than DNN classifier using the proposed feature. Among three different speech tasks considered, the rehearsed speech was found to provide the highest F-score of 1, followed by an F-score of 0.92 when both repeated words and spontaneous speech are used for classification.

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Paper Details

Authors:
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh
Submitted On:
24 April 2018 - 1:18am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Aravind Illa
Paper Code:
SP-P21.5
Document Year:
2018
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[1] Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh, "Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3158. Accessed: Aug. 19, 2018.
@article{3158-18,
url = {http://sigport.org/3158},
author = {Deep Patel; BK Yaminiy; Meera SSy; Shivashankar Ny; Preethish-Kumar Veeramaniz; Seena Vengalilz; Kiran Polavarapuz; Saraswati Nashiz; Atchayaram Naliniz; Prasanta Kumar Ghosh },
publisher = {IEEE SigPort},
title = {Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects},
year = {2018} }
TY - EJOUR
T1 - Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects
AU - Deep Patel; BK Yaminiy; Meera SSy; Shivashankar Ny; Preethish-Kumar Veeramaniz; Seena Vengalilz; Kiran Polavarapuz; Saraswati Nashiz; Atchayaram Naliniz; Prasanta Kumar Ghosh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3158
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Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh. (2018). Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects. IEEE SigPort. http://sigport.org/3158
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh, 2018. Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects. Available at: http://sigport.org/3158.
Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh. (2018). "Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects." Web.
1. Deep Patel, BK Yaminiy, Meera SSy, Shivashankar Ny, Preethish-Kumar Veeramaniz, Seena Vengalilz, Kiran Polavarapuz, Saraswati Nashiz, Atchayaram Naliniz, Prasanta Kumar Ghosh. Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3158