FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition

Milad Alemzadeh, Saeed Bagheri Shouraki, Ramin Halavati

Abstract

This paper intends to introduce a simple fast space-efficient linear method for a general pattern recognition problem. The presented algorithm can find the closest match for a given sample within a number of samples which has already been introduced to the system. The fact of using averaging and fuzzy numbers in this method encourages that it may be a noise resistant recognition process. As a test bed, a problem of recognition of spoken words has been set forth to this algorithm. Test data contain clean and noisy samples and results have been compared to that of a widely used speech recognition method, HMM.

References

  1. Zimmermann, H.J., 1996. Fuzzy set theory and its applications, Kluwer Academic Publishers. Boston/Dordrecht/London, 3rd edition.
  2. Gonzalez, R., Woods, R., 2001. Digital image Processing, Prentice Hall. New Jersey, 2nd edition.
  3. Halavati, R., Bagheri, S., Sameti, H., Babaali, B., 2005. A novel noise immune fuzzy approach to speech recognition. In International Fuzzy Systems Association 11th World Congress. Beijing, China.
  4. Babaali, B., Sameti, H., 2004. The sharif speakerindependent large vocabulary speech recognition system. In The 2nd Workshop on Information Technology & Its Disciplines (WITID 2004). Kish Island, Iran.
  5. Duchateau, J., Demuynck, K., Compernolle, D.V., 1998. Fast and Accurate Acoustic Modelling with SemiContinuous HMMs. In Speech Communication, volume 24, No. 1, pages 5--17.
  6. Ohkawa, Y., Yoshida, A., Suzuki, M., Ito, A., Makino, S., 2003. An optimized multi-duration HMM for spontaneous speech recognition. In EUROSPEECH2003. 485-488.
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Paper Citation


in Harvard Style

Alemzadeh M., Bagheri Shouraki S. and Halavati R. (2006). FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-61-0, pages 122-126. DOI: 10.5220/0001206001220126


in Bibtex Style

@conference{icinco06,
author={Milad Alemzadeh and Saeed Bagheri Shouraki and Ramin Halavati},
title={FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2006},
pages={122-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001206001220126},
isbn={978-972-8865-61-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition
SN - 978-972-8865-61-0
AU - Alemzadeh M.
AU - Bagheri Shouraki S.
AU - Halavati R.
PY - 2006
SP - 122
EP - 126
DO - 10.5220/0001206001220126