Automatic dysarthria detection and severity level assessment using CWT-layered CNN model

Automatic dysarthria detection and severity level assessment using CWT-layered CNN model

Abstract Dysarthria is a speech disorder that affects the ability to communicate due to articulation difficulties. This research proposes a novel method for automatic dysarthria detection (ADD) and automatic dysarthria severity level assessment (ADSLA) by using a variable continuous wavelet transfor...

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Bibliographic Details
Main Authors: Shaik Sajiha, Kodali Radha, Dhulipalla Venkata Rao, Nammi Sneha, Suryanarayana Gunnam, Durga Prasad Bavirisetti
Format: Article
Language:English
Published: SpringerOpen 2024-06-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Dysarthria
Severity assessment
TORGO
UA-Speech
CWT-layer
Amor wavelet
Online Access:https://doi.org/10.1186/s13636-024-00357-3

Internet

https://doi.org/10.1186/s13636-024-00357-3

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