Building Robust and Scalable Multilingual ASR for Indian Languages
Analysis
This article likely discusses the development of Automatic Speech Recognition (ASR) systems capable of handling multiple Indian languages. The focus is on robustness and scalability, suggesting challenges in dealing with linguistic diversity and the need for systems that can handle large amounts of data and user traffic. The source being ArXiv indicates a research paper, implying a technical and potentially complex analysis of the methods and results.
Key Takeaways
Reference
“”