Abstract
Speaker identification is the process of identifying an unknown speaker from a set of known speakers. In a speaker identification or verification, the prime interest is not in recognizing the words but determining who is speaking the words. In systems of speaker identification, a test of signal from an unknown speaker is compared to all known speaker signals in the set. The signal that has the maximum probability is identified as the unknown speaker. In security systems based on speaker identification, faultless identification has huge meaning for safety.
In aim of increasing safety, in this work it was proposed own approach to user identification, based on independent speech and facial asymmetry. Extraction of the audio features of person’s speech is done using mechanism of cepstral speech analysis.
The part of the work that deals with face recognition was based on the technique of automatic authentication of a person with assumption that the use of automatically extracted, structural characteristics of the face asymmetry (in particular within the eyes and mouth regions as the most informative parts of the face) leads to improvement of the biometrical authentication systems.
Finally, the paper will show results of user identification.
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References
Kubanek, M.: Analysis of Signal of Audio Speech i Process of Speech Recognition. Computing, Multimedia and Intelligent Techniques, Czestochowa 2, 55–64 (2006)
Kubanek, M.: Method of Speech Recognition and Speaker Identification with use Audio-Visual Polish Speech and Hidden Markov Models. In: Saeed, K., Pejas, J., Mosdorof, R. (eds.) Biometrics, Computer Security Systems and Artificial Intelligence Applications, pp. 45–55. Springer Science + Business Media, New York (2006)
Aydin, Y., Nakajama, H.: Realistic Articulated Character Positioning and Balance Control in Interactive Environments. In: Proceedings Computer Animation 1999, pp. 160–168 (1999)
Neti, C., Potamianos, G., Luttin, J., Mattews, I., Glotin, H., Vergyri, D., Sison, J., Mashari, A., Zhou, J.: Audio Visual Speech-Recognition. 2000 Final Report (2000)
Chu Wai, C.: Speech Coding Algorithms. Foundation and Evolution of Standardized Coders. John Wiley & Sons, New Jersey (2000)
Basztura, C.: Talk to Computer. Publishing House of Research Work FORMAT, Wroclaw (1992)
Lyons, R.G.: Input to digital processing of signal. Publishing House of Communication and Connection, Warsaw (1999)
Rabiner, L., Yuang, B.H.: Fundamentals of Speech Recognition. Prentice Hall Signal Processing Series (1993)
Wisniewski, A.M.: Hidden Markow Model in Speech Recognition. In: Bulletin IAiR WAT, Wroclaw, vol. 7 (1997)
Kanyak, M.N.N., Zhi, Q., Cheok, A.D., Sengupta, K., Chung, K.C.: Audio-Visual Modeling for Bimodal Speech Recognition. In: Proc. Symp. Time Series Analysis (2001)
Bogert, B.P., Healy, M.J.R., Tukey, J.W.: The Frequency Analysis of Time-Series for Echoes. In: Proc. 2001 International Fuzzy Systems Conference, pp. 209–243 (1963)
Wahab, A., See Ng, G., Dickiyanto, R.: Speaker Verification System Based on Human Auditory and Fuzzy Neural Network System. Neurocomputing Manuscript Draft, Singapore
Liu, Y., Schmidt, K., Cohn, J., Mitra, S.: Facial Asymmetry Quantification for Expression Invariant Human Identification. In: AFGR 2002, pp. 198–204 (2002)
Liu, Y., Weaver, R., Schmidt, K., Serban, N., Cohn, J.: Facial Asymmetry: A New Biometric. CMU-RI-TR (2001)
Mitra, S., Liu, Y.: Local Facial Asymmetry for Expression Classification. In: Proc. of the 2004 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2004) (June 2004)
Rydzek, S.: A Method to Automatically Authenticate a Person Based on the Asymmetry Measurements of the Eyes and/or Mouth. PhD thesis, Czestochowa University of Technology (2007)
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Kubanek, M., Rydzek, S. (2008). A Hybrid Method of User Identification with Use Independent Speech and Facial Asymmetry. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_78
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DOI: https://doi.org/10.1007/978-3-540-69731-2_78
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