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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

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 …

Automatic speech assessment system for aphasia speech disorder

KR Jothi, P Yawalkar, VL Mamatha - Annals of the Romanian …, 2021 - annalsofrscb.ro
Aphasia is a language impairment disorder that affects speech production or speech
comprehension. Person face difficulties in communication due to long pauses, repetitions …

A systematic review of machine learning based automatic speech assessment system to evaluate speech impairment

KR Jothi, VL Mamatha - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Aphasia is a communication disability that falls under the category of neurological speech
disorder. The main cause of the aphasia individual speech impairment damages certain …

Predicting severity in people with aphasia: A natural language processing and machine learning approach

M Day, RK Dey, M Baucum, EJ Paek… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Speech language pathologists need an accurate assessment of the severity of people with
aphasia (PWA) to design and provide the best course of therapy. Currently, severity is …

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 …

[PDF][PDF] Automatic Speech Assessment for People with Aphasia Using TDNN-BLSTM with Multi-Task Learning.

Y Qin, T Lee, S Feng, APH Kong - Interspeech, 2018 - aphasia.talkbank.org
This paper describes an investigation on automatic speech assessment for people with
aphasia (PWA) using a DNN based automatic speech recognition (ASR) system. The main …

[HTML][HTML] 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 …