Automatic assessment of aphasic speech sensed by audio sensors for classification into aphasia severity levels to recommend speech therapies

HMDPM Herath, WASA Weraniyagoda… - Sensors, 2022 - mdpi.com
Aphasia is a type of speech disorder that can cause speech defects in a person. Identifying
the severity level of the aphasia patient is critical for the rehabilitation process. In this …

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 …

A comparative investigation of automatic speech recognition platforms for aphasia assessment batteries

SS Mahmoud, RF Pallaud, A Kumar, S Faisal, Y Wang… - Sensors, 2023 - mdpi.com
The rehabilitation of aphasics is fundamentally based on the assessment of speech
impairment. Developing methods for assessing speech impairment automatically is …

A machine learning based system for the automatic evaluation of aphasia speech

C Kohlschein, M Schmitt, B Schüller… - 2017 ieee 19th …, 2017 - ieeexplore.ieee.org
Aphasia is an acquired language disorder resulting from damage to language related
networks of the brain, most often as a result of ischemic stroke or traumatic brain injury …

Aphasic speech recognition using a mixture of speech intelligibility experts

M Perez, Z Aldeneh, EM Provost - arXiv preprint arXiv:2008.10788, 2020 - arxiv.org
Robust speech recognition is a key prerequisite for semantic feature extraction in automatic
aphasic speech analysis. However, standard one-size-fits-all automatic speech recognition …

Automatic quantitative analysis of spontaneous aphasic speech

D Le, K Licata, EM Provost - Speech Communication, 2018 - Elsevier
Spontaneous speech analysis plays an important role in the study and treatment of aphasia,
but can be difficult to perform manually due to the time consuming nature of speech …

You speak, we detect: Quantitative diagnosis of anomic and Wernicke's aphasia using digital signal processing techniques

M Khan, BN Silva, SH Ahmed, A Ahmad… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Aphasia is a common adult language disorder acquired after a stroke, head injury, tumor,
etc. Accurate diagnosis influences the prognosis of any speech and language disorder …

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 …

Automatic speech recognition (ASR) based approach for speech therapy of aphasic patients: A review

N Jamal, S Shanta, F Mahmud… - AIP Conference …, 2017 - pubs.aip.org
This paper reviews the state-of-the-art an automatic speech recognition (ASR) based
approach for speech therapy of aphasic patients. Aphasia is a condition in which the …

Improving automatic speech recognition of aphasic speech through the use of a processing prosthesis

DA Dahl, MC Linebarger… - Technology and …, 2008 - content.iospress.com
Individuals with aphasia have difficulty with many language tasks. In addition, hemiplegia of
the dominant side of the body, which frequently accompanies aphasia, can limit use of a …