Journal Press India^®

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This research paper explores advancements in speech recognition technology. Speech recognition, a pivotal area of artificial intelligence, involves converting spoken language into text or commands. The paper delves into foundational techniques like Hidden Markov Models (HMMs) and their evolution into modern Deep Learning approaches. It discusses the challenges posed by variations in accents, languages, and background noise, and showcases the integration of large datasets and sophisticated neural architectures. The study also emphasizes real-time ap- plicability and improved human-machine interaction. Through this investigation, the paper contributes to the understanding of cutting-edge methods in speech recognition and their practical implications.

Keywords

Speech processing, Speech recognition, Communication, Deep learning, CNN

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