Application for Speech Recognition Help to Search Government Policies – Based on MFCC with Gammatone Filter
Mugdha Parande1, Shanthi Therese2, Vinayak Shinde3
1Mugdha Parande, Shri L.R. Tiwari College of Engineering, Kanakia Park, Mira Road(East).Thane, Maharashtra, India.
2Shanthi Therese, Shri L.R. Tiwari College of Engineering, Kanakia Park, Mira Road(East).Thane, Maharashtra, India.
3Vinayak Shinde, Shri L.R. Tiwari College of Engineering, Kanakia Park, Mira Road(East).Thane, Maharashtra, India.
Manuscript received on 14 January 2021 | Revised Manuscript received on 01 February 2021 | Manuscript Accepted on 15 February 2021 | Manuscript published on 28 February 2021 | PP: 12-15 | Volume-1 Issue-1, February 2021 | A1005021121/2021©LSP
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speech is a natural mode of communication for people. Yet people are so comfortable with verbal skills rather than writing. Today’s digital world needs to interact with the computers via speech which can be easier and fast. Outstanding work in speech recognition and feature extracting has produced the commercial speech recognition systems for speech driven computing and word processing systems. This paper deals with an application to make an easy search to retrieve Government Policies from system database by using the techniques of speech recognition. For developing application we use hybrid feature extraction technique i.e. MFCC with Gammatone Filter Bank and for recognition Vector Quantization is used.
Keywords: Speech Recognition Systems for Speech Driven Computing