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Audio-Visual Speaker Identification Based on the Use of Dynamic Audio and Visual Features

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2688))

Abstract

This paper presents a speaker identification system based on dynamical features of both the audio and visual modes. Speakers are modeled using a text dependent HMM methodology. Early and late audio-visual integration are investigated. Experiments are carried out for 252 speakers from the XM2VTS database. From our experimental results, it has been shown that the addition of the dynamical visual information improves the speaker identification accuracies for both clean and noisy audio conditions compared to the audio only case. The best audio, visual and audio-visual identification accuracies achieved were 86.91%, 57.14% and 94.05% respectively.

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References

  1. Brunelli, R. and Falavigna, D.: Person identification using multiple cues. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 10, pp. 955–966, Oct.1995

    Article  Google Scholar 

  2. Brunelli, R. and Poggio, T.: Face Recognition: Features versus Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1042–1052, 1993

    Article  Google Scholar 

  3. Chen, T.: Audiovisual Speech Processing. IEEE Signal Processing Magazine, vol. 18, no. 1, pp. 9–21, Jan.2001

    Article  MATH  Google Scholar 

  4. Chibelushhi, C. C., Deravi, F., and Mason, J. S. D.: A Review of Speech-Based Bimodal Recognition. IEEE Transaction on Multimedia, vol. 4, no. 1, pp. 23–36, Mar.2002

    Article  Google Scholar 

  5. Davis, S. and Mermelstein, P.: Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences. IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 28, no. 4, pp. 357–366, 1980

    Article  Google Scholar 

  6. Lucey, S.: Audio-Visual Speech Processing. PhD thesis, Queensland University of Technology, Brisbane, Australia, Apr.2002

    Google Scholar 

  7. Luettin J.: Speaker verification experiments on the XM2VTS database. In IDIAP Communication 98-02, IDIAP, Martigny, Switzerland, Aug.1999

    Google Scholar 

  8. Luettin, J. and Maitre, G.: Evaluation Protocol for the XM2VTSDB Database (Lausanne Protocol). In IDIAP Communication 98-05, IDIAP, Martigny, Switzerland, Oct.1998

    Google Scholar 

  9. Matthews, I., Cootes, T. F., Bangham, J. A., Cox, J. A., and Harvey, R.: Extraction of visual features for lipreading. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 2, pp. 198–213, Feb.2002

    Article  Google Scholar 

  10. McGurk, H. and MacDonald, J.: Hearing Lips and Seeing Voices. Nature, vol. 264, pp. 746–748, Dec.1976

    Google Scholar 

  11. Messer, K., Matas, J., Kittler, J., Luettin J., and Maitre, G.: XM2VTSDB: The Extended M2VTS Database. The Proceedings of the Second International Conference on Audio and Video-based Biometric Person Authentication (AVBPA’99), Washington D.C., pp. 72–77, Mar.1999

    Google Scholar 

  12. Netravali, A. N. and Haskell, B. G.: Digital Pictures. Plenum Press, pp. 408–416, 1998

    Google Scholar 

  13. Potamianos, G., Graf, H., and Cosatto, E.: An Image Transform Approach for HMM Based Automatic Lipreading. Proceedings of the IEEE International Conference on Image Processing, Chicago, vol. 3 pp. 173–177, 1998

    Google Scholar 

  14. Rabiner, L. R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, vol. 77, no. 2, pp. 257–286, Feb.1989

    Google Scholar 

  15. Ramachandran, R. P., Zilovic, M. S., and Mammone, R. J.: A Comparative Study of Robust Linear Predictive Analysis Methods with Applications to Speaker Identification. IEEE Transactions on Speech and Audio Processing, vol. 3, no. 2, pp. 117–125, Mar.1995

    Article  Google Scholar 

  16. Reynolds, D. A. and Rose, R. C.: Robust Text-Independent Speaker Identification Using Gaussian Mixture Speaker Models. IEEE Transactions on Speech and Audio Processing, vol. 3, no. 1, Jan.1995

    Google Scholar 

  17. Scanlon, P. and Reilly, R.: Visual Feature Analysis For Automatic Speechreading. DSP Research Group, UCD, Dublin, Ireland, 2001

    Google Scholar 

  18. Silsbee, P. and Bovik, A.: A Computer Lipreading for Improved Accuracy in Automatic Speech Recognition. IEEE Transactions on Speech and Audio Processing, vol. 4, no. 5, pp. 337–350, Sept.1990

    Article  Google Scholar 

  19. Yacoub, S. B. and Luetin, J.: Audio-Visual Person Verification. In IDIAP Communication 98-18, IDIAP, Martigny, Switzerland, Nov.1998

    Google Scholar 

  20. Young, S., Evermann, G., Kershaw, D., Moore, G., Odell, J., Ollason, D., Valtchev, V., and Woodland, P.: The HTK Book (for HTK Version 3.1). Microsoft Corporation, Cambridge University Engineering Department, Nov.2001

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Electronic and Electrical Engineering, University College Dublin, Belfield, Dublin 4, Ireland

    Niall Fox & Richard B. Reilly

Authors
  1. Niall Fox
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  2. Richard B. Reilly
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Editor information

Editors and Affiliations

  1. Center for Vision, Speech and Signal Proc., University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Josef Kittler

  2. Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, Southampton, UK

    Mark S. Nixon

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© 2003 Springer-Verlag Berlin Heidelberg

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Fox, N., Reilly, R.B. (2003). Audio-Visual Speaker Identification Based on the Use of Dynamic Audio and Visual Features. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_86

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  • DOI: https://doi.org/10.1007/3-540-44887-X_86

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40302-9

  • Online ISBN: 978-3-540-44887-7

  • eBook Packages: Springer Book Archive

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