Automatic speech recognition (ASR) based approach for speech therapy of aphasic patients: A review
This paper reviews the state-of-the-art an automatic speech recognition (ASR) based
approach for speech therapy of aphasic patients. Aphasia is a condition in which the …
approach for speech therapy of aphasic patients. Aphasia is a condition in which the …
[HTML][HTML] 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 …
Digital speech therapy for the aphasia patients: challenges, opportunities and solutions
OA Egaji, I Asghar, M Griffiths, W Warren - Proceedings of the 9th …, 2019 - dl.acm.org
This paper outlines the potential challenges of adopting digital solutions for treating patients
with aphasia. Current research has focused on the use of non-immersive Virtual Reality (VR) …
with aphasia. Current research has focused on the use of non-immersive Virtual Reality (VR) …
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 …
[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 …
the severity level of the aphasia patient is critical for the rehabilitation process. In this …
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 …
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 …
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 …
Leveraging big data to understand the interaction of task and language during monologic spoken discourse in speakers with and without aphasia
BC Stark, J Fukuyama - Language, Cognition and Neuroscience, 2021 - Taylor & Francis
Monologic spoken discourse allows us to evaluate every day speech while retaining some
experimental constraint. It also has clinical relevance, providing cognitive-linguistic …
experimental constraint. It also has clinical relevance, providing cognitive-linguistic …