Automated dysarthria severity classification: A study on acoustic features and deep learning techniques
Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
Residual neural network precisely quantifies dysarthria severity-level based on short-duration speech segments
Recently, we have witnessed Deep Learning methodologies gaining significant attention for
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …
The Detection of Dysarthria Severity Levels Using AI Models: A Review
Dysarthria, a speech disorder stemming from neurological conditions, affects communication
and life quality. Precise classification and severity assessment are pivotal for therapy but are …
and life quality. Precise classification and severity assessment are pivotal for therapy but are …
Glottal source information for pathological voice detection
Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …
considered as potential clinical tools for medical treatment. This study investigates the …
Variable STFT layered CNN model for automated dysarthria detection and severity assessment using raw speech
This paper presents a novel approach for automated dysarthria detection and severity
assessment using a variable short-time Fourier transform layered convolutional neural …
assessment using a variable short-time Fourier transform layered convolutional neural …
Dysarthria severity assessment using squeeze-and-excitation networks
Automated dysarthria severity identification can aid clinicians in monitoring the patient's
progress, and can improve the performance of dysarthric speech recognition systems. In this …
progress, and can improve the performance of dysarthric speech recognition systems. In this …
Dysarthria severity classification using multi-head attention and multi-task learning
Identifying the severity of dysarthria is considered a diagnostic step in monitoring the
patient's progress and a beneficial step in the transcription of dysarthric speech. In this …
patient's progress and a beneficial step in the transcription of dysarthric speech. In this …
Automated dysarthria severity classification using deep learning frameworks
Dysarthria is a neuro-motor speech disorder that renders speech unintelligible, in
proportional to its severity. Assessing the severity level of dysarthria, apart from being a …
proportional to its severity. Assessing the severity level of dysarthria, apart from being a …
Classification of dysarthria based on the levels of severity. a systematic review
Dysarthria is a neurological speech disorder that can significantly impact affected
individuals' communication abilities and overall quality of life. The accurate and objective …
individuals' communication abilities and overall quality of life. The accurate and objective …
Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features
In clinical practice, assessment of intelligibility in speakers with dysarthria is performed by
speech-language pathologists through auditory perceptual tests which demand patients' …
speech-language pathologists through auditory perceptual tests which demand patients' …