Feasibility of automatic speech recognition for providing feedback during tablet-based treatment for apraxia of speech plus aphasia

KJ Ballard, NM Etter, S Shen, P Monroe… - American journal of …, 2019 - ASHA
Purpose Individuals with neurogenic speech disorders require ongoing therapeutic support
to achieve functional communication goals. Alternative methods for service delivery, such as …

[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 …

[HTML][HTML] A hierarchical fuzzy rule-based approach to aphasia diagnosis

MR Akbarzadeh-T, M Moshtagh-Khorasani - Journal of Biomedical …, 2007 - Elsevier
Aphasia diagnosis is a particularly challenging medical diagnostic task due to the linguistic
uncertainty and vagueness, inconsistencies in the definition of aphasic syndromes, large …

Voice recognition and aphasia: Can computers understand aphasic speech?

J Wade, B. Petheram, R. Cain - Disability and rehabilitation, 2001 - Taylor & Francis
Purpose: This preliminary investigation of the use of voice recognition software by people
with aphasia presents a new method of training the software, which allows the aphasic user …

[HTML][HTML] Classifying Alzheimer's disease using audio and text-based representations of speech

R Haulcy, J Glass - Frontiers in Psychology, 2021 - frontiersin.org
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …

A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning

J Tang, W Chen, X Chang, S Watanabe… - arXiv preprint arXiv …, 2023 - arxiv.org
Aphasia is a language disorder that affects the speaking ability of millions of patients. This
paper presents a new benchmark for Aphasia speech recognition and detection tasks using …

Basic parameters of spontaneous speech as a sensitive method for measuring change during the course of aphasia

M Grande, K Hussmann, E Bay… - … Journal of Language …, 2008 - Wiley Online Library
Background: Spontaneous speech of aphasic persons is often scored on rating scales
assessing aphasic symptoms. Rating scales have the advantage of an easy and fast scoring …

[PDF][PDF] Using text and acoustic features to diagnose progressive aphasia and its subtypes.

KC Fraser, F Rudzicz, E Rochon - Interspeech, 2013 - isca-archive.org
This paper presents experiments in automatically diagnosing primary progressive aphasia
(PPA) and two of its subtypes, semantic dementia (SD) and progressive nonfluent aphasia …

Improved language in chronic aphasia after self-delivered iPad speech therapy

BC Stark, EA Warburton - Neuropsychological rehabilitation, 2018 - Taylor & Francis
Self-delivered speech therapy provides an opportunity for individualised dosage as a
complement to the speech-therapy regime in the long-term rehabilitation pathway. Few apps …

[HTML][HTML] Predicting speech fluency and naming abilities in aphasic patients

J Wang, S Marchina, AC Norton, CY Wan… - Frontiers in human …, 2013 - frontiersin.org
There is a need to identify biomarkers that predict degree of chronic speech
fluency/language impairment and potential for improvement after stroke. We previously …