A Systematic Analysis of Automatic Speech Recognition: An Overview
Pages : 1664-1675
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Abstract
Most high-flying and primary means of communication among humans is speech. Despite the researches and developments in the field of automatic speech recognition the accuracy of the said is still a research challenge. This paper reviews past work comparing modern speech recognition systems and humans to determine how far recent dramatic progress in technology has evolved towards the objective of human-like performance. An overview of sources of knowledge is introduced and the use of knowledge to create and verify hypotheses is discussed.
Keywords: Automatic speech recognition, Feature Extraction, Utterance, Dynamic time wrapping, Matching.
Article published in International Journal of Current Engineering and Technology, Vol.4,No.3 (June- 2014)