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Advances in Acoustics and Vibration
Volume 2012 (2012), Article ID 172625, 10 pages
http://dx.doi.org/10.1155/2012/172625
Research Article

Multiengine Speech Processing Using SNR Estimator in Variable Noisy Environments

1Department of Enterprise and Higher Education, International Turnkey Systems, ITS Tower, Mubarak Al Kabeer Street, P.O. Box 26729, Safat, Kuwait City 13128, Kuwait
2Department of Systems and Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada K1S 5B6

Received 14 August 2011; Accepted 26 October 2011

Academic Editor: Akira Ikuta

Copyright © 2012 Ahmad R. Abu-El-Quran et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. Gish, “Robust discrimination in automatic speaker identification,” in IEEE International Conference on Acoustics, Speech, and Signal Processing: Speech Processing, pp. 289–292, Albuquerque, NM, USA, April 1990. View at Scopus
  2. A. El-Solh, Evaluation of speech enhancement techniques for speaker recognition in noisy environments, M.S. thesis, Carleton University, 2006.
  3. A. El-Solh, A. Cuhadar, and R. A. Goubran, “Evaluation of speech enhancement techniques for speaker identification in noisy environments,” in 9th IEEE International Symposium on Multimedia - Workshops, pp. 235–239, Taichung, Taiwan, December 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Ming, T. J. Hazen, J. R. Glass, and D. A. Reynolds, “Robust speaker recognition in noisy conditions,” IEEE Transactions on Audio, Speech and Language Processing, vol. 15, no. 5, pp. 1711–1723, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. N. Kitaoka, S. Hamaguchi, and S. Nakagawa, “Noisy speech recognition based on integration/selection of multiple noise suppression methods using noise GMMs,” IEICE Transactions on Information and Systems, vol. E91-D, no. 3, pp. 411–421, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Gomez and T. Kawahara, “Optimizing spectral subtraction and Wiener filtering for robust speech recognition in reverberant and noisy conditions,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '10), pp. 4566–4569, Dallas, Tex, USA, March 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. International Telecommunications Union (ITU), Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs, Telecom Standardization Section, ITU-T, 2001.
  8. T. Yamada, M. Kumakura, and N. Kitawaki, “Performance estimation of speech recognition system under noise conditions using objective quality measures and artificial voice,” IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 6, pp. 2006–2013, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. A. R. Abu-El-Quran, R. A. Goubran, and A. D. C. Chan, “Security monitoring using microphone arrays and audio classification,” IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 4, pp. 1025–1032, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Ntalampiras, I. Potamitis, and N. Fakotakis, “Probabilistic novelty detection for acoustic surveillance under real-world conditions,” IEEE Transactions on Multimedia, vol. 13, no. 4, pp. 713–719, 2011. View at Publisher · View at Google Scholar
  11. A. M. Vainio, M. Valtonen, and J. Vanhala, “Proactive fuzzy control and adaptation methods for smart homes,” IEEE Intelligent Systems, vol. 23, no. 2, pp. 42–49, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Wang, N. Kitaoka, and S. Nakagawa, “Robust distant speech recognition by combining multiple microphone-array processing with position-dependent CMN,” EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 95491, 11 pages, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. E. Mabande, A. Schad, and W. Kellermann, “Design of robust superdirective beamformers as a convex optimization problem,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '09), pp. 77–80, Taipei, Taiwan, April 2009. View at Scopus
  14. A. R. Abu-El-Quran and R. A. Goubran, “Adaptive pitch-based speech detection for hands-free applications,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '05), pp. 305–308, March 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. F. Bimbot, I. Magrin-Chagnolleau, and L. Mathan, “Second-order statistical measures for text-independent speaker identification,” Speech Communication, vol. 17, no. 1-2, pp. 177–192, 1995. View at Scopus
  16. R. D. Zilca, “Text-independent speaker verification using covariance modeling,” IEEE Signal Processing Letters, vol. 8, no. 4, pp. 97–99, 2001. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Pinquier, J. L. Rouas, and R. André-Obrecht, “A fusion study in speech/music classification,” in IEEE International Conference on Accoustics, Speech, and Signal Processing, pp. 17–20, Hong Kong, April 2003. View at Scopus
  18. J. S. Gammal and R. A. Goubran, “Combating reverberation in speaker verification,” in Proceedings of the IEEE Instrumentation and Measurement Technology Conference (IMTC '05), pp. 687–690, Ottawa, Canada, May 2005. View at Scopus
  19. E. Nemer, R. Goubran, and S. Mahmoud, “SNR estimation of speech signals using subbands and fourth-order statistics,” IEEE Signal Processing Letters, vol. 6, no. 7, pp. 171–174, 1999. View at Publisher · View at Google Scholar · View at Scopus
  20. D. A. Reynolds and R. C. Rose, “Robust text-independent speaker identification using Gaussian mixture speaker models,” IEEE Transactions on Speech and Audio Processing, vol. 3, no. 1, pp. 72–83, 1995. View at Publisher · View at Google Scholar · View at Scopus
  21. P. J. Barger and S. Sridharan, “On the performance and use of speaker recognition systems for surveillance,” in IEEE International Conference on Video and Signal Based Surveillance (AVSS '06), Sydney, Australia, November 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. Y. Linde, A. Buzo, and R. M. Gray, “An algorithm for vector quantizer design,” IEEE Transactions on Communications Systems, vol. 28, no. 1, pp. 84–95, 1980. View at Scopus
  23. National Institute of Standards and Technology (NIST), “Brief Description of the KING Speech Data Base,” 1992.