6 Biggest Challenges of Automatic Speech Recognition (ASR) for Hindi

The text discusses six challenges faced while developing an automatic speech recognition (ASR) model for Hindi. Firstly, Hindi is a low-resource language with limited data available for training ASR models compared to languages like English. Secondly, multilingualism and dialects pose difficulties as speakers may switch between languages or use loanwords from other languages, making it challenging for the model to track conversations accurately.