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 …

Automatic recognition of aphasic speech is challenging due to various speech-language
impairments associated with aphasia as well as a scarcity of training data appropriate for …

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 …

The performance of eight machine learning classifiers were compared with three aphasia
related classification problems. The first problem contained naming data of aphasic and non …

Narrative speech can provide a valuable source of information about an individual's
linguistic abilities across lexical, syntactic, and pragmatic levels. However, analysis of …

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 …

Conventional automatic assessment of pathological speech usually follows two main
steps:(1) extraction of pathology-specific features;(2) classification or regression on …

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 …

Nowadays, many application scenarios benefit from automatic speech recognition (ASR)
technology. Within the field of speech therapy, in some cases ASR is exploited in the …

Speech assessment is an essential part of the rehabilitation procedure for patients with
aphasia (PWA). It is a comprehensive and time-consuming process that aims to discriminate …