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Automatic Speaker Recognition System

  • P. M. Ghate
  • Shraddha Chadha
  • Aparna Sundar
  • Ankita Kambale
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)

Abstract

The proposed work provides a description of an Automatic Speaker Recognition System (ASR). It particularly documents all the stages involved in the proposed ASR system starting from the preprocessing stage to the decision making stage. The main aim of this work is to achieve a system with high robustness and user friendly. Voice samples from three different users are used as acoustic material. Feature extraction is done by computing Mel Frequency Cepstral Coefficients (MFCC) which is used to create reference template. For the purpose of feature matching, Dynamic Time Warping (DTW) algorithm is used wherein DTW distance is computed between the test signal and the reference signal. Decision is made by comparing the distance with a predefined threshold value.

Keywords

Discrete Cosine Transform Speech Signal Dynamic Time Warping Speaker Verification Speaker Identification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer India 2013

Authors and Affiliations

  • P. M. Ghate
    • 1
  • Shraddha Chadha
    • 1
  • Aparna Sundar
    • 1
  • Ankita Kambale
    • 1
  1. 1.Rajarshi Shahu College of EngineeringPuneIndia

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