An Overview and Comparative Study of Speech Recognition Techniques

Authors

  • Abhishek Dixit Department of Computer Science & Information Technology, VITM, Gwalior, Madhya Pradesh, India
  • Abhinav Vidwans Department of Computer Science & Information Technology, VITM, Gwalior, Madhya Pradesh, India
  • Anand Singh Bisen Department of Computer Science & Information Technology, VITM, Gwalior, Madhya Pradesh, India

Keywords:

Speech recognition, MFCC, LPC, DTW, feature extraction, artificial neural network

Abstract

The easy way of communication between machine and human being is automatic speech recognition. Automatic speech recognition in different languages is one major research areas in signal processing field. Accuracy in SR is an important challenge in the research work. This paper discusses researches in the SR field in the past 60 years and gives an overview on SR process, types of speech, approaches, classifiers such as dynamic time warping (DTW), artificial neural network (ANN) etc. and also discusses various techniques for extraction of features like MFCCs, LPC, etc. which are used in speech recognition.

Cite the ArticleAbhishek Dixit, Abhinav Vidwans, Anand Singh Bisen. An Overview and Comparative Study of Speech Recognition Techniques. Research & Reviews: A Journal of Embedded System & Applications. 2016; 4(1): 7–12p.

Published

2016-05-11

Issue

Vol. 4 No. 1 (2016)

Section

Articles

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