Enhancing AI-Based Speech Recognition Systems for Multilingual Support

Abstract

Speech recognition systems have made significant advancements in recent years, driven by artificial intelligence (AI) and machine learning algorithms. However, most systems remain predominantly focused on a single language or a limited set of languages. This article explores the challenges and opportunities in enhancing AI-based speech recognition systems to support multiple languages, with a focus on developing models that can recognize and process speech across diverse linguistic contexts. We discuss the role of neural networks in multilingual speech recognition, examine strategies for improving system accuracy and adaptability, and consider the societal implications of making speech recognition accessible to a broader range of languages.