Modeling Source and System Features Through Multi-Channel Convolutional Neural Network for Improving Intelligibility Assessment of Dysarthric Speech-Reference-Cited by-同舟云学术

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Modeling Source and System Features Through Multi-Channel Convolutional Neural Network for Improving Intelligibility Assessment of Dysarthric Speech

Published:2023 Issue: Volume: Page:
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Author:

Ahmad Md. Talib,Pradhan Gayadhar,Singh Jyoti Prakash

Publisher

Elsevier BV

Reference42 articles.

1. Acoustic studies of dysarthric speech: Methods, progress, and potential;R D Kent;Journal of Communication Disorders,1999

2. Intelligibility assessment and speech recognizer word accuracy rate prediction for dysarthric speakers in a factor analysis subspace;D Mart�nez;ACM Transactions on Accessible Computing,2015

3. Resolution of dysarthria in multiple sclerosis by treatment with weak electromagnetic fields;R Sandyk;International Journal of Neuroscience,1995

4. Progression of dysarthria and dysphagia in postmortem-confirmed parkinsonian disorders;J M�ller;Archives of neurology,2001

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