Comparative Analysis of Speech Recognition


Authors : Anusha U, Avantika Holla S, Eshwar Thilak R, Gowthami C P, Hamsaveni M.

Volume/Issue : Volume 4 - 2019, Issue 1 - January

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/vLzbFi

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

communication is the most important form of exchanging information. Speech is the major mode for the transfer of information. The speech recognition system which is also called as automatic speech recognition (ASR) is a way in which the computer/system understands the speech, automates it and converts it into text. There are different techniques to achieve this result which involves speech analysis, feature extraction, modelling techniques like the hidden markov model (HMM), neural networks, and DTW algorithm.

Keywords : Feature Extraction, Speech Analysis, Hidden Markov Model (HMM), Neural Networks, DTW Algorithm.

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