A Novel Multi-task Learning based Automatic Speech Impairment Assessment Algorithm

Y Ge, T Wang, J Cao, S Xu - 2022 China Automation Congress …, 2022 - ieeexplore.ieee.org
Speech impairment assessment is crucial to the treatment evaluation of speech therapy. The
current evaluation methods mainly depend on speech-language pathologists (SLPs) …

An end-to-end approach to automatic speech assessment for people with aphasia

Y Qin, T Lee, Y Wu, APH Kong - 2018 11th International …, 2018 - ieeexplore.ieee.org
Conventionally, automatic assessment of pathological speech involves two main steps:(1)
extraction of pathology-specific features;(2) classification or regression of extracted features …

An end-to-end approach to automatic speech assessment for Cantonese-speaking people with aphasia

Y Qin, Y Wu, T Lee, APH Kong - Journal of Signal Processing Systems, 2020 - Springer
Conventional automatic assessment of pathological speech usually follows two main
steps:(1) extraction of pathology-specific features;(2) classification or regression on …

An efficient deep learning based method for speech assessment of mandarin-speaking aphasic patients

SS Mahmoud, A Kumar, Y Tang, Y Li… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Speech assessment is an important part of the rehabilitation process for patients with
aphasia (PWA). Mandarin speech lucidity features such as articulation, fluency, and tone …

An optimal hybrid AI-ResNet for accurate severity detection and classification of patients with aphasia disorder

E Nivedha, A Chandrasekar, S Jothi - Signal, Image and Video Processing, 2023 - Springer
Assessing speech severity by examining the speech signals of patients with aphasia is
significant for providing the best course of therapy. Though there are available various …

Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment

A Kumar, Y Li, Y Tang - Sensors, 2021 - search.proquest.com
Speech assessment is an essential part of the rehabilitation procedure for patients with
aphasia (PWA). It is a comprehensive and time-consuming process that aims to discriminate …

Application of Machine Learning Algorithms to Disordered Speech

SS Mahmoud, Q Fang, M Alsulami, A Kumar - Blockchain and Deep …, 2022 - Springer
Aphasia is an acquired neurogenic language/speech disorder that can be assessed with
one of the well-known assessment standards, such as the Chinese Rehabilitation Research …

Performance evaluation of machine learning frameworks for aphasia assessment

SS Mahmoud, A Kumar, Y Li, Y Tang, Q Fang - Sensors, 2021 - mdpi.com
Speech assessment is an essential part of the rehabilitation procedure for patients with
aphasia (PWA). It is a comprehensive and time-consuming process that aims to discriminate …

Automatic assessment of speech impairment in cantonese-speaking people with aphasia

Y Qin, T Lee, APH Kong - IEEE journal of selected topics in …, 2019 - ieeexplore.ieee.org
Aphasia is a common type of acquired language impairment resulting from dysfunction in
specific brain regions. Analysis of narrative spontaneous speech, eg, story-telling, is an …

[PDF][PDF] Impairment Representation Learning for Speech Quality Assessment.

L Chen, X Ren, X Zhang, X Zheng, C Zhang… - …, 2022 - isca-archive.org
Non-intrusive speech quality assessment has been a crucial task for speech processing. In
recent years, methods based on deep neural network have achieved the start-of-the-art …