Speech Recognition Implementation
Kanika Bansalwal1, Kamaldeep Sharma2, Anuj Jain3
1Kanika Bansalwal, Research Scholar, School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar, India.
2Kamaldeep Sharma, School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar, India.
3Anuj Jain, School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar, India.
Manuscript received on 21 September 2019 | Revised Manuscript received on 30 September 2019 | Manuscript Published on 01 October 2019 | PP: 111-116 | Volume-8 Issue-9S4 July 2019 | Retrieval Number: I11160789S419/19©BEIESP | DOI: 10.35940/ijitee.I1116.0789S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a brief review on Automatic Speech Recognition and provide a technical understanding of ASR system. The objective of this review paper is to elaborate one of the best techniques in the field of speech recognition that is hidden Markov model. Hidden Markov model is very popular technique for speech recognition because speech signal is more like piecewise stationary or short time stationary signal and these models can be trained easily and they are computationally feasible. So, this paper gives a proper implementation of hidden Markov model. After so many years of research, the main challenge in speech recognition field is accuracy. The speech recognition system includes feature extraction, building word template, comparing word and selecting the best with maximum likelihood. Hence, this paper will give a great contribution for understanding the concepts of Automatic Speech Recognition system and hidden Markov model.
Keywords: Automatic Speech Recognition, Hidden Markov Model, Pre-Processing, Feature Extraction, Word Template, Robust Speech Recognition, Short-Time Fourier Transform, Peak Detection.
Scope of the Article: Algorithm Engineering