Skip to main content

Speaker Identification Using Kalman Cepstral Coefficients

  • 326 Accesses

Part of the Lecture Notes in Computer Science book series (LNAI,volume 1902)

Abstract

In this paper an approach to speaker identification based on an estimation of parameters of a linear speech-production model is presented. The estimation is based on the discrete Kalman estimator. It is generally supposed that the vocal tract can be modelled by a system with constant parameters over short intervals. Taking this assumption into account, we can derive a special form of the discrete Kalman estimator for the model of speech production. The parameters of the vocal tract model obtained by the above mentioned Kalman estimation are then used to compute a new type of cepstral coefficients which we call Kalman cepstral coefficients (KCCs). These coefficients were used in text-independent speaker identification experiments based on discrete vector quantisation. Achieved results were then compared with results obtained by using the LPC-derived cepstral coefficients (LPCCs). The experiments were performed in a closed group of 591 speakers (312 male, 279 female).

Keywords

  • Speech Signal
  • Speech Production
  • Vocal Tract
  • Speaker Recognition
  • 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.

The work was supported by the Ministry of Education of the Czech Republic, project no. MSM235200004, and by the Grant Agency of the Czech Republic, project no. 102/96/K087.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/3-540-45323-7_50
  • Chapter length: 6 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   99.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-45323-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   129.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mack G. A., Jain V. K.: A Compensated-Kalman Speech Parameter Estimator. IEEE Signal Processing Magazine (1985).

    Google Scholar 

  2. Mammone R. J., Zhang X., Ramachandran R. P.: Robust Speaker Recognition. IEEE Signal Processing Magazine (1996).

    Google Scholar 

  3. Psutka J.: Communication with Computer by Speech. Academia, Prague (1995) (in Czech).

    Google Scholar 

  4. Radová V., Švenda Z.: An Approach to Speaker Recognition Based on Vector Quantization. First International Conference on Advanced Engineering Design, Prague (1999).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Švenda, Z., Radovă, V. (2000). Speaker Identification Using Kalman Cepstral Coefficients. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_50

Download citation

  • DOI: https://doi.org/10.1007/3-540-45323-7_50

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41042-3

  • Online ISBN: 978-3-540-45323-9

  • eBook Packages: Springer Book Archive