International Journal of Engineering and Management Research (IJEMR)
  • Year: 2016
  • Volume: 6
  • Issue: 2

Analysis of Automatic Speech Recognition by using HMM Based Model

  • Author:
  • Sonika 1, Bhawna Hooda2
  • Total Page Count: 5
  • Page Number: 852 to 856

1Student, Electronics & Communication Engineering, R.N College of Engineering and Management, Rohtak, Haryana, India

2HOD, Electronics & Communication Engineering, R.N College of Engineering and Management, Rohtak, Haryana, India

Online published on 8 November, 2017.

Abstract

The Speech Recognition is one of the main factor through which we take all reports here further. Here are five divisions of Speech Recognition named as isolated spoken word recognition, continuous speech recognition, text dependent spoken word recognition, speaker independent and speaker dependent recognition. In the isolated spoken word recognition, there are different speakers who speak different words during training and any testing signal (in other case, the same word spoken by any other or same person) and then it should be recognized.

Keywords

Hidden Markov Model (HMM), Hidden Models Toolkit