Abstract: This work examines the development of Automatic Speech Recognition (ASR) systems for low-resource languages, focusing on Hindi and Marathi, particularly in multilingual and code-switching ...

While humans evolved to perform routine endurance activity, recent secular trends in the United States and globally have resulted in a dramatic rise in the amount of time spent inactive in both ...

Abstract: Hindi, one of the most widely spoken languages, is considered low-resource for speech synthesis (SS) due to its complex phonetic structure and limited annotated datasets. In this paper, we ...