Review of Automatic Speech Recognition Methodologies
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2023-08-01
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Abstract:This report highlights the crucial role of Automatic Speech Recognition (ASR) techniques in enhancing safety for air traffic control (ATC) in terminal environments. ASR techniques facilitate efficient and accurate transcription of verbal communications, reducing the likelihood of errors. The report also details the evolution of ASR technologies, converging to machine learning approaches from Hidden Markov Models (HMMs), Deep Neural Networks (DNNs) to End-to-End models. Finally, the report details the latest advancements in ASR techniques, focusing on transformer-based models that have outperformed traditional ASR approaches and achieved state-of-the-art results on ASR benchmarks.
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