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 …

We adopt Bidirectional Long Short-Term Memory (BiLSTM) neural network and Wavelet
Scattering Transform with Support Vector Machine (WST-SVM) classifier for detecting …

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 …

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 …

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 …

The rehabilitation of aphasics is fundamentally based on the assessment of speech
impairment. Developing methods for assessing speech impairment automatically is …

Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …

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 …

Stroke is a cardiovascular and cerebrovascular disease that affects the aged population at a
high rate. Patients' functional disabilities can be reduced with effective rehabilitation training …

A frequent neurological condition known as aphasia is brought on by injury to language-
related brain regions as well as possibly other regions of the brain involved in executive …