4 accepted papers
Automatic Speech Recognition (ASR) holds immense potential to provide an effective interface for assistive technologies, but its performance remains unsatisfactory for people with speech impairments such as dysarthria. Existing ASR systems struggle to accurately recognize dysarthric speech due to th…
In this paper, we present a speaker-independent dysarthric speech recognition system, with a focus on evaluating the recently released Speech Accessibility Project (SAP-1005) dataset, which includes speech data from individuals with Parkinson’s disease (PD). Despite the growing body of research in d…
The Segment-Anything Model (SAM) stands as a foundational framework for image segmentation. While it exhibits remarkable zero-shot generalization in typical scenarios, its advantage diminishes when applied to specialized domains like medical imagery and remote sensing. To address this limitation, th…
It has been commonly observed that a teacher model with superior performance does not necessarily result in a stronger student, highlighting a discrepancy between current teacher training practices and effective knowledge transfer. In order to enhance the guidance of the teacher training process, we…