Purpose Aphasia is an acquired communication disability resulting from impairments in
language processing following brain injury, most commonly stroke. People with aphasia …

We investigate the performance of self-supervised pretraining frameworks on pathological
speech datasets used for automatic speech recognition (ASR). Modern end-to-end models …

Hungarian is spoken by 15 million people, still, easily accessible Automatic Speech
Recognition (ASR) benchmark datasets-especially for spontaneous speech-have been …

Alzheimer's Disease (AD) results from the progressive loss of neurons in the hippocampus,
which affects the capability to produce coherent language. It affects lexical, grammatical, and …

Aphasia diagnosis is a particularly challenging medical diagnostic task due to the linguistic
uncertainty and vagueness, inconsistencies in the definition of aphasic syndromes, large …

In this article, the authors have presented the design and development of automatic
spontaneous speech recognition of the Punjabi language. To dimensions up to the natural …

Aphasia is a common language disorder which can severely affect an individual's ability to
communicate with others. Aphasia rehabilitation requires intensive practice accompanied by …

Automatic speech recognition (ASR) is increasingly becoming an integral component of our
daily lives. This trend is in large part due to recent advances in machine learning, and …

In this work, we explore a data scheduling strategy for semi-supervised learning (SSL) for
acoustic modeling in automatic speech recognition. The conventional approach uses a seed …

In this work, we analyzed and compared speech representations extracted from different
frozen self-supervised learning (SSL) speech pre-trained models on their ability to capture …