On the Use of MFCC Feature Vector Clustering for Efficient Text Dependent Speaker Recognition

  • Ankit Samal
  • Deebyadeep Parida
  • Mihir Ranjan Satapathy
  • Mihir Narayan Mohanty
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 247)

Abstract

The paper describes an experimental study and the development of a computer agent for Speaker recognition. It presents an efficient method to verify authorised speakers and identify them using MFCC Feature vector clustering. For clustering of the MFCC features, Vector Quantisation using Linde-Buzo-Gray (LBG) algorithm has been presented. This approach proves to be an efficient ASR technique.

Keywords

ASR MFCC LBG Clustering 

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References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ankit Samal
    • 1
  • Deebyadeep Parida
    • 1
  • Mihir Ranjan Satapathy
    • 1
  • Mihir Narayan Mohanty
    • 1
  1. 1.Siksha ‘O’ Anusandhan UniversityBhubaneswarIndia

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