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 …

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 …

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 …

Aphasia is a type of acquired language impairment caused by brain injury. This paper
presents an automatic speech recognition (ASR) based approach to objective assessment …

Robust speech recognition is a key prerequisite for semantic feature extraction in automatic
aphasic speech analysis. However, standard one-size-fits-all automatic speech recognition …

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 …

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

This paper presents an investigation on applying automatic speech recognition (ASR) to
speech assessment of people with aphasia (PWA). A distinctive characteristic of PWA …

Dysarthria is a motor speech impairment, often characterized by slow and slurred speech
that is generally incomprehensible by human listeners. An understanding of the intelligibility …