Dysarthria Diagnosis and Dysarthric Speaker Identification Using Raw Speech Model
Author:
Affiliation:
1. Velagapudi Ramakrishna Siddhartha Engineering College,Department of Electronics & Communications Engineering,Kanuru,India,520007
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10485651/10485661/10485694.pdf?arnumber=10485694
Reference25 articles.
1. Mechanisms of development of voice disorders in dysarthria;Alieva;The American Journal of Social Science and Education Innovations,2022
2. A Review and Classification of Amyotrophic Lateral Sclerosis with Speech as a Biomarker
3. Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs
4. Cepstral peak prominence: A comprehensive analysis
5. Dysarthria detection based on a deep learning model with a clinically-interpretable layer
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1. Automated ASD detection in children from raw speech using customized STFT-CNN model;International Journal of Speech Technology;2024-07-26
2. Automatic dysarthria detection and severity level assessment using CWT-layered CNN model;EURASIP Journal on Audio, Speech, and Music Processing;2024-06-25
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