Speech processing plays a crucial role in many signal processing applications, while the
last decade has bought gigantic evolution based on machine learning prototype. Speech …

Decision making in case of medical diagnosis is a complicated process. A large number of
overlapping structures and cases, and distractions, tiredness, and limitations with the human …

The unavailability of sufficient information for proper diagnosis, incomplete or
miscommunication between patient and the clinician, or among the healthcare …

Parkinson's disease (PD) is a neurodegenerative disease that impacts the neural,
physiological, and behavioral systems of the brain, in which mild variations in the initial …

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

ABSTRACT Developmental Language Disorder (DLD) affects children's comprehension and
production of spoken language without any known biomedical condition. The importance of …

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 …

Navigating the challenges of data-driven speech processing, one of the primary hurdles is
accessing reliable pathological speech data. While public datasets appear to offer solutions …

Speaker diarization (answering'who spoke when') is a widely researched subject within
speech technology. Numerous experiments have been run on datasets built from broadcast …

Traumatic Brain Injury (TBI) is caused by a head injury that affects the brain, impairing
cognitive and communication function and resulting in speech and language disorders. Over …