A Hybrid Approach to Speaker Recognition in Multi-speaker Environment

  • Jigish Trivedi
  • Anutosh Maitra
  • Suman K. Mitra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

Recognition of voice in a multi-speaker environment involves speech separation, speech feature extraction and speech feature matching. Though traditionally vector quantization is one of the algorithms used for speaker recognition; its effectiveness is not well appreciated in case of noisy or multi-speaker environment. This paper describes the usability of the Independent Component Analysis (ICA) technique to enhance the effectiveness of speaker recognition using vector quantization. Results obtained by this approach are compared with that obtained using a more direct approach to establish the usefulness of the proposed method.

Keywords

Speech recognition ICA MFCC Vector Quantization 

References

  1. 1.
    Furui, S.: An overview of speaker recognition technology. In: ESCA Workshop on Automatic Speaker Recognition, Identification and Verification, pp. 1–9 (1994)Google Scholar
  2. 2.
    van der Kouwe, A.J.W., De Liang, W., Brown, G.J.: A comparison of auditory and blind separation techniques for speech segregation. IEEE Transaction of Speech and Audio Processing 9(3), 189–195 Google Scholar
  3. 3.
    Cardoso, J.F.: Eigenstructure of the 4th-order cumulant tensor with application to the blind source separation problem. In: Proc. ICASSP 1989, pp. 2109–2112 (1989)Google Scholar
  4. 4.
    Bell, A., Sejnowski, T.: An information maximization approach to blind separation and blind deconvolution. Neural Computation 7, 1129–1159 (1995)CrossRefGoogle Scholar
  5. 5.
    Hyvärinen, A., Oja, E.: A fast fixed-point algorithm for Independent Component Analysis. Neural Computation 9(7), 1483–1492 (1997)CrossRefGoogle Scholar
  6. 6.
    Linde, Y., Buzo, A., Gray, R.: An algorithm for vector quantizer design. IEEE Transactions on Communications 28, 84–95 (1980)CrossRefGoogle Scholar
  7. 7.

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jigish Trivedi
    • 1
  • Anutosh Maitra
    • 1
  • Suman K. Mitra
    • 1
  1. 1.Dhirubhai Ambani Institute of Information and Communication TechnologyGandhinagarIndia

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