A Study on Automatic Speech Recognition


Authors : Sunilkumar M Hattaraki; Vinodakumar M.Sonar

Volume/Issue : Volume 8 - 2023, Issue 4 - April

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3HtVOnJ

DOI : https://doi.org/10.5281/zenodo.7879813

Abstract : Over the last few decades, speech signal processing has been the most interesting and broad area of research. Speech is an effective means of communication for humans to converse with one another. Speech can be heard by human ears in a real-world environment, even with all of the background noises. Distinguishing the target speech from the background noise by a machine, on the other hand, remains a difficult issue. Man has always had a strong desire to make machines more human-like. This desire has resulted in the development of disciplines such as artificial intelligence (AI), which mimic human behavior in machines.

Keywords : Speech Signal, Machine, Recognition, Noise and Artificial Intelligence (AI).

Over the last few decades, speech signal processing has been the most interesting and broad area of research. Speech is an effective means of communication for humans to converse with one another. Speech can be heard by human ears in a real-world environment, even with all of the background noises. Distinguishing the target speech from the background noise by a machine, on the other hand, remains a difficult issue. Man has always had a strong desire to make machines more human-like. This desire has resulted in the development of disciplines such as artificial intelligence (AI), which mimic human behavior in machines.

Keywords : Speech Signal, Machine, Recognition, Noise and Artificial Intelligence (AI).

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