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 …
Improving aphasic speech recognition by using novel semi-supervised learning methods on aphasiabank for english and spanish
Automatic speech recognition in patients with aphasia is a challenging task for which studies
have been published in a few languages. Reasonably, the systems reported in the literature …
have been published in a few languages. Reasonably, the systems reported in the literature …
Feasibility of automatic speech recognition for providing feedback during tablet-based treatment for apraxia of speech plus aphasia
Purpose Individuals with neurogenic speech disorders require ongoing therapeutic support
to achieve functional communication goals. Alternative methods for service delivery, such as …
to achieve functional communication goals. Alternative methods for service delivery, such as …
Careless Whisper: Speech-to-Text Hallucination Harms
Speech-to-text services aim to transcribe input audio as accurately as possible. They
increasingly play a role in everyday life, for example in personal voice assistants or in …
increasingly play a role in everyday life, for example in personal voice assistants or in …
Big data and artificial intelligence in post-stroke aphasia: A mapping review
G Pottinger, Á Kearns - Advances in Communication and …, 2024 - content.iospress.com
BACKGROUND: Aphasia is an impairment of language as a result of brain damage which
can affect individuals after a stroke. Recent research in aphasia has highlighted new …
can affect individuals after a stroke. Recent research in aphasia has highlighted new …
Scaling asr improves zero and few shot learning
With 4.5 million hours of English speech from 10 different sources across 120 countries and
models of up to 10 billion parameters, we explore the frontiers of scale for automatic speech …
models of up to 10 billion parameters, we explore the frontiers of scale for automatic speech …
Voice biomarkers as indicators of cognitive changes in middle and later adulthood
E Mahon, ME Lachman - Neurobiology of aging, 2022 - Elsevier
Voice prosody measures have been linked with Alzheimer's disease (AD), but it is unclear
whether they are associated with normal cognitive aging. We assessed relationships …
whether they are associated with normal cognitive aging. We assessed relationships …
An efficient deep learning based method for speech assessment of mandarin-speaking aphasic patients
SS Mahmoud, A Kumar, Y Tang, Y Li… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Speech assessment is an important part of the rehabilitation process for patients with
aphasia (PWA). Mandarin speech lucidity features such as articulation, fluency, and tone …
aphasia (PWA). Mandarin speech lucidity features such as articulation, fluency, and tone …
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 …
Zero-shot cross-lingual aphasia detection using automatic speech recognition
Aphasia is a common speech and language disorder, typically caused by a brain injury or a
stroke, that affects millions of people worldwide. Detecting and assessing Aphasia in …
stroke, that affects millions of people worldwide. Detecting and assessing Aphasia in …