A Novel Approach for Speech to Text Recognition System Using Hidden Markov Model

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Organization of Speech Recognition Structure
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Published: Dec 31, 2022
DOI: https://doi.org/10.17762/ijritcc.v10i12.5934
Keywords:
Hidden Markov Model, Artificial Neural Network, feature extraction, speech categorization

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Babu Kumar
Department Of AIIT, Amity University,Uttar Pradesh, India
Ajay Vikram Singh
Department Of AIIT, Amity University Uttar Pradesh, Noida India
Parul Agarwal
Department Of Computer Science, Jamia Hamdard University, New Delhi India

Abstract

Speech recognition is the application of sophisticated algorithms which involve the transforming of the human voice to text. Speech identification is essential as it utilizes by several biometric identification systems and voice-controlled automation systems. Variations in recording equipment, speakers, situations, and environments make speech recognition a tough undertaking. Three major phases comprise speech recognition: speech pre-processing, feature extraction, and speech categorization. This work presents a comprehensive study with the objectives of comprehending, analyzing, and enhancing these models and approaches, such as Hidden Markov Models and Artificial Neural Networks, employed in the voice recognition system for feature extraction and classification.

Article Details

How to Cite
Kumar, B. ., Singh, A. V. ., & Agarwal, P. . (2022). A Novel Approach for Speech to Text Recognition System Using Hidden Markov Model. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 181–190. https://doi.org/10.17762/ijritcc.v10i12.5934
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Vol. 10 No. 12 (2022): December (2022) Issue
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Articles

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