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 …

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 …

Language sample analysis with TalkBank: An update and review

B MacWhinney, D Fromm - Frontiers in communication, 2022 - frontiersin.org
This chapter examines state-of-the-art methods for coding, analyzing, and interpreting
discourse-level language data from children and adults with language disorders using the …

A Systematic Review of Using Deep Learning in Aphasia: Challenges and Future Directions

Y Wang, W Cheng, F Sufi, Q Fang, SS Mahmoud - Computers, 2024 - mdpi.com
In this systematic literature review, the intersection of deep learning applications within the
aphasia domain is meticulously explored, acknowledging the condition's complex nature …

AI-assisted assessment and treatment of aphasia: a review

X Zhong - Frontiers in Public Health, 2024 - frontiersin.org
Aphasia is a language disorder caused by brain injury that often results in difficulties with
speech production and comprehension, significantly impacting the affected individuals' lives …

Clinical efficacy of pre-trained large language models through the lens of aphasia

Y Cong, AN LaCroix, J Lee - Scientific Reports, 2024 - nature.com
The rapid development of large language models (LLMs) motivates us to explore how such
state-of-the-art natural language processing systems can inform aphasia research. What …

Automating intended target identification for paraphasias in discourse using a large language model

AC Salem, RC Gale, M Fleegle, G Fergadiotis… - Journal of Speech …, 2023 - ASHA
Purpose: To date, there are no automated tools for the identification and fine-grained
classification of paraphasias within discourse, the production of which is the hallmark …

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

D Lee, S Son, H Jeon, S Kim, J Han - arXiv preprint arXiv:2310.11710, 2023 - arxiv.org
Aphasia, a language disorder resulting from brain damage, requires accurate identification
of specific aphasia types, such as Broca's and Wernicke's aphasia, for effective treatment …

TalkBank Methods for Studying Spoken Discourse

B Macwhinney, D Fromm - … Impairments in the Neurogenic Populations: A …, 2024 - Springer
This chapter examines the use of TalkBank methods for coding, analyzing, and interpreting
discourse-level language data from adults with neurogenic language disorders. These …

Automatic recognition and detection of aphasic natural speech

M Barberis, P De Clercq, B Tamm… - arXiv preprint arXiv …, 2024 - arxiv.org
Aphasia is a language disorder affecting one third of stroke patients. Current aphasia
assessment does not consider natural speech due to the time consuming nature of manual …