[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 …

AI based speech language therapy using speech quality parameters for aphasia person: a comprehensive review

KR Jothi, SS Sivaraju… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Aphasia is a communication disorder that hinders the ability to express and communicate
with society. Aphasia individual can face difficulties in sentence formation, opinions and …

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 …

[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 …

Uncovering the potential for a weakly supervised end-to-end model in recognising speech from patient with post-stroke aphasia

G Sanguedolce, PA Naylor… - Proceedings of the 5th …, 2023 - aclanthology.org
Post-stroke speech and language deficits (aphasia) significantly impact patients' quality of
life. Many with mild symptoms remain undiagnosed, and the majority do not receive the …

A study on acoustic modeling for child speech based on multi-task learning

J Wang, SI Ng, D Tao, WY Ng… - 2018 11th International …, 2018 - ieeexplore.ieee.org
This paper describes a study on acoustic modeling of child speech for large-vocabulary
speech recognition of Cantonese. This study is driven and enabled by a new speech corpus …

Phone durations modeling for Livvi-Karelian ASR

I Kipyatkova, I Kagirov - International Conference on Speech and …, 2023 - Springer
This paper presents the results of experiments conducted during development of an
automatic speech recognition system for the low-resource Karelian language (Livvi-Karelian …

Applications and performances of artificial intelligence in assessment and diagnosis of communication disorders: A systematic review of the literatures

HW Kang, JK Kang, SB Lee, HS Sim - Communication Sciences & …, 2022 - e-csd.org
Objectives: A systematic review of the literature was undertaken (1) to investigate research
trends on how artificial intelligence is being used for assessment and diagnosis in the field …

[PDF][PDF] Diagnosis of disordered speech using automatic speech recognition

V Arpitha, K Samvrudhi, G Manjula… - International Journal …, 2020 - researchgate.net
The purpose of the project is to help the speech disordered people communicate effectively.
Speech is the effective way of communication. Many speech disorders are caused due to …

The application of speech recognition technology in detecting speech sound errors in Cantonese-speaking children

WY Ng - 2021 - search.proquest.com
Background Speech sound disorder (SSD) is one of the common problems that children
face in their childhoods. Reported prevalence of SSD estimates ranging from 2% to 25% of …