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 …

Traditional in-person therapy may be difficult to access for individuals with aphasia due to
the shortage of speech-language pathologists and high treatment cost. Computerized …

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 …

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 …

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 …

Speech-based technology has the potential to reinforce traditional aphasia therapy through
the development of automatic speech-language assessment systems. Such systems can …

Conventionally, automatic assessment of pathological speech involves two main steps:(1)
extraction of pathology-specific features;(2) classification or regression of extracted features …

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 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 …