A Study on Speech Recognition

Abstract

Among human beings, speech is a primary medium of interaction. Speech is the most natural and easy way of information exchange. As modern devices are aimed to be user friendly, voice interaction with machines is the most easy and convenient way of communicating. This paper concentrates on Speech recognition technology that allows for hand-free interface and provides better use of present day technologies. Thus speech recognition technology will help remove technological barriers and provides solution for easy human machine interaction. This paper discusses about the various types of speech and the methods to extract and analyze the structure of the speech. The paper summarizes about speech recognition techniques and various algorithms for speech-to-text conversion.

Authors and Affiliations

Mridula Shanbhogue, Shreya Kulkarni, R Suprith, Tejas K I

Keywords

Related Articles

Circularly Polarized Multi Band Patch Antenna for High Frequency Wi-Fi and Wi-MAX Application Simulated with CST Studio Suite

A circularly polarized multi band patch antenna for high frequency application was proposed. The main purpose of this antenna is for wireless communication mainly Wi-Fi and WiMAX applications and also satisfy the bandwi...

Introduction and Parametric Analysis of Air Bearings

Bearing technology represents one of the age old challenges for mechanical engineers. Plain bearings and rolling bearings have been pushed to their limits in applications like electric motors and high resolution scannin...

Comparative Studies of MANET Protocols

In recent years mobile ad hoc networks became extremely popular and much of analysis is being done on completely different aspects of MANET. Mobile unprepared Networks (MANET)-a system of mobile nodes (laptops, sensors,...

slugUniversity Exam Van Routing by using ACO Metaheuristic

This paper focuses on the University exam van routing, a biggest problem during exam times for universities in India. There are so many colleges affiliated to a given university in various cities apart from each other....

Cloud Based Efficient Building Energy Management System

In order to achieve energy saving efficiently and provide smart services automatically for users, the architecture of a smart energy monitoring and management system using the Microsoft neural network and computationall...

Download PDF file
  • EP ID EP21840
  • DOI -
  • Views 262
  • Downloads 7

How To Cite

Mridula Shanbhogue, Shreya Kulkarni, R Suprith, Tejas K I (2016). A Study on Speech Recognition. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(3), -. https://europub.co.uk/articles/-A-21840