title: The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR
abstract: Building a multilingual Automated Speech Recognition (ASR) system in a linguistically diverse country like India can be a challenging task due to the differences in scripts and the limited availability of speech data. This problem can be solved by exploiting the fact that many of these languages are phonetically similar. These languages can be converted into a Common Label Set (CLS) by mapping similar sounds to common labels. In this paper, new approaches are explored and compared to improve the
journal: arXiv (Cornell University)