Prosody-based measures for automatic severity assessment of dysarthric speech

A Hernandez, S Kim, M Chung - Applied Sciences, 2020 - mdpi.com
One of the first cues for many neurological disorders are impairments in speech. The
traditional method of diagnosing speech disorders such as dysarthria involves a perceptual …

Differential spectral characteristics of the Spanish fricative/s/in the articulation of individuals with dysarthria and apraxia of speech

N Melle, C Gallego, JM Lahoz-Bengoechea… - Journal of …, 2024 - Elsevier
Purpose This study examines whether there are differences in the speech of speakers with
dysarthria, speakers with apraxia and healthy speakers in spectral acoustic measures …

Temporal acoustic properties of the sibilant fricative/s/for the differential diagnosis of dysarthria and apraxia of speech in Spanish speakers

N Melle, JM Lahoz-Bengoechea, S Nieva… - Clinical Linguistics & …, 2024 - Taylor & Francis
ABSTRACT Dysarthria and Apraxia of Speech (AoS) are motor speech disorders in which
neurological lesions differentially affect motor control, possibly leading to noticeable …

Effects of speech cues on acoustics and intelligibility of Korean-speaking children with cerebral palsy

YM Chang, PY Jeong, KH Hwang, BY Ihn… - Journal of Speech …, 2024 - ASHA
Purpose: Reduced speech intelligibility is often a hallmark of children with dysarthria
secondary to cerebral palsy (CP), but effects of speech strategies for increasing intelligibility …

Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification

EJ Yeo, K Choi, S Kim, M Chung - arxiv preprint arxiv:2305.18392, 2023 - arxiv.org
This paper proposes an improved Goodness of Pronunciation (GoP) that utilizes Uncertainty
Quantification (UQ) for automatic speech intelligibility assessment for dysarthric speech …

Investigation of different time–frequency representations for detection of fricatives

V Karjigi, S Roopa, HM Chandrashekar - International Journal of Speech …, 2024 - Springer
Fricatives are an important class of speech sounds which exhibit noisy characteristics with
dominant high-frequency components. Accurate detection of fricative segments in …

Tran-DSR: A hybrid model for dysarthric speech recognition using transformer encoder and ensemble learning

R Mahum, AM El-Sherbeeny, K Alkhaledi, H Hassan - Applied Acoustics, 2024 - Elsevier
Over the last decade, there has been a notable increase in the pervasiveness of
neurological diseases due to population growth and aging. Among individuals with …

Consonantal landmarks as predictors of dysarthria among English-speaking adults with cerebral palsy

CT Liu, Y Chen - Brain Sciences, 2021 - mdpi.com
The current study explored the possibility that the consonantal landmarks served as
predictors of dysarthric speech produced by English-speaking adults with cerebral palsy …

UTran-DSR: a novel transformer-based model using feature enhancement for dysarthric speech recognition

U Irshad, R Mahum, I Ganiyu, FS Butt, L Hidri… - EURASIP Journal on …, 2024 - Springer
Over the past decade, the prevalence of neurological diseases has significantly risen due to
population growth and aging. Individuals suffering from spastic paralysis, brain attack, and …

Design and construction of 14 Arabic fricatives dataset, classification and characterization using CRNN, transformers, and H-CRNN

A Zitouni, L Falek, A Amrouche, B Dahou… - Multimedia Tools and …, 2024 - Springer
A fricative sound is produced by the close proximity of two articulators, resulting in a partially
obstructed airstream and turbulent airflow. The frequency spectrum of the majority of …