A Novel Speech Recognition System using  Hidden Markov Model

R  Renita Rexy; R  Rosita Rosini  and G  Mani Sankar

doi:10.17485/ijst/2015/v8i32/87613

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A Novel Speech Recognition System using Hidden Markov Model

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i32/87613

Year: 2015, Volume: 8, Issue: 32, Pages: 1-5

Original Article

A Novel Speech Recognition System using Hidden Markov Model

R. Renita Rexy¹, R. Rosita Rosini² and G. Mani Sankar²

¹Department of ECE, Bharath University, Selaiyur, Chennai – 600073, India;
² Department of ECE, Kalasalingam Institute of Technology, Anna University, Krishnankoil - 626126, India

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Here in this paper, we have made a formal assessment of the current capabilities of Speech Recognition system and have taken efforts to show how they have been exploited in present day applications using Hidden Markov Model (HMM). Voice Quest is a huge leap in the world of digital communication. The objective of this paper is to analyze and explain the importance of Voice Quest. Voice quest aims to make searching more easy and simple. First of all, we have to create a database that can accommodate certain questions and their appropriate answers. Whenever user asks a question, this input question is first converted to its text format and tries to get a particular match from our database. After getting that match, the corresponding answer for that question, which is stored in the database in text format is converted to voice format and is given as the output to the user. Since the Voice Quest avoids typing and button presses, it makes searching quite a simpler task.
Keywords: Digital Communication, HMM, Speech Recognition, Voice Quest