How artificial intelligence (AI) is used in aphasia rehabilitation: A scoping review
Background In recent years, artificial intelligence (AI) has become commonplace in our daily
lives, making its way into many different settings, including health and rehabilitation. While …
lives, making its way into many different settings, including health and rehabilitation. While …
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 …
but can be difficult to perform manually due to the time consuming nature of speech …
[HTML][HTML] Classification of huntington disease using acoustic and lexical features
Speech is a critical biomarker for Huntington Disease (HD), with changes in speech
increasing in severity as the disease progresses. Speech analyses are currently conducted …
increasing in severity as the disease progresses. Speech analyses are currently conducted …
[HTML][HTML] HEAR4Health: a blueprint for making computer audition a staple of modern healthcare
Recent years have seen a rapid increase in digital medicine research in an attempt to
transform traditional healthcare systems to their modern, intelligent, and versatile …
transform traditional healthcare systems to their modern, intelligent, and versatile …
Automatic assessment of speech impairment in cantonese-speaking people with aphasia
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 …
specific brain regions. Analysis of narrative spontaneous speech, eg, story-telling, is an …
Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT)
Speech language pathologists rely on information spanning the layers of language, often
drawing from multiple layers (eg phonology & semantics) at once. Recent innovations in …
drawing from multiple layers (eg phonology & semantics) at once. Recent innovations in …
[HTML][HTML] NUVA: a naming utterance verifier for aphasia treatment
DS Barbera, M Huckvale, V Fleming, E Upton… - Computer Speech & …, 2021 - Elsevier
Anomia (word-finding difficulties) is the hallmark of aphasia, an acquired language disorder
most commonly caused by stroke. Assessment of speech performance using picture naming …
most commonly caused by stroke. Assessment of speech performance using picture naming …
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 …
life. Many with mild symptoms remain undiagnosed, and the majority do not receive the …
Automating intended target identification for paraphasias in discourse using a large language model
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 …
classification of paraphasias within discourse, the production of which is the hallmark …
Cross-language aphasia detection using optimal transport domain adaptation
A Balagopalan, J Novikova… - … Learning for Health …, 2020 - proceedings.mlr.press
Multi-language speech datasets are scarce and often have small sample sizes in the
medical domain. Robust transfer of linguistic features across languages could improve rates …
medical domain. Robust transfer of linguistic features across languages could improve rates …