Dysarthric-speech detection using transfer learning with convolutional neural networks

Author:

Mani Sekhar S RORCID,Kashyap Gaurav,Bhansali Akshay,A. Andrew Abishek,Singh KushanORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference10 articles.

1. The automatic detection of speech disorders in children: Challenges, opportunities, and preliminary results;Shahin;IEEE J. Sel. Top. Sign. Proces.,2020

2. [dataset] The TORGO Dataset [Online]. Available: http://www.cs.toronto.edu/complingweb/data/TORGO/torgo.html.

3. Deep learning-based detection of dysarthric speech disability;Prakash,2019

4. The TORGO database of acoustic and articulatory speech from speakers with dysarthria;Rudzicz;Lang. Resour. Eval.,2012

5. Automatic detection of speech disorder in dysarthria using extended speech feature extraction and neural networks classification;Ijitona;IET Digit. Library,2017

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