Abstract
One of the speaker authentication problems consists on identifying a person only by means of his/her voice. To obtain the best authentication results, it is very important to select the most relevant features from the speech samples, this because we think that not all of the characteristics are relevant for the authentication process and also that many of these data might be redundant. This work presents the design and implementation of a Genetic-Neural algorithm for feature selection used on a speaker authentication task. We extract acoustic features such as Mel Frequency Cepstral Coefficients, on a database composed by 150 recorded voice samples, and a genetic feature selection system combined with a time delay feed-forward neural network trained by scaled conjugate gradient back propagation, to classify/authenticate the speaker. We also show that after the hybrid system finds the best solution, it almost never looses it, even when the search space changes. The design and implementation process, the performed experiments, as well as some results are shown.
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References
Rabiner, L., Juang, B.-H.: Fundamentals of Speech Recognition. Prentice Hall Signal Processing Series (1993), ISBN: 0-13-015157-2
Miramontes de León, G., De la Rosa Vargas, J.I., García, E.: Application of an Annular/Sphere Search Algorithm for Speaker Recognition. In: Proceedings of the 15th International Conference on Electronics, Communications and Computers. CONIELECOMP, IEEE, Los Alamitos (2005), 0-7695-2283-1/05
Pelecanos, J., Myers, S., Sridharan, S., Chandran, V.: Vector Quantization based Gaussian Modeling for Speaker Verification. In: Proceedings of the International conference on Pattern Recognition (ICPR 2000), IEEE Computer Society Press, Los Alamitos (2000)
Hsieh, C., Lai, E., Wang, Y.: Robust Speaker Identification System based on Wavelet Transform and Gaussian Mixture Model. Journal of Information Science and Engineering 19(2), 267–282 (2003)
Oh, I.S., Lee, J.S., Moon, B.R.: Hybrid Genetic Algorithms for Feature Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(11) (2004)
Yu, H.-J.: Speaker Recognition in Unknown Mismatched Conditions Using Augmented Principal Component Analysis. In: Yolum, p., Güngör, T., Gürgen, F., Özturan, C. (eds.) ISCIS 2005. LNCS, vol. 3733, Springer, Heidelberg (2005)
Balagué, A.J.: Diccionario Enciclopédico Baber. Editorial Baber, 1119 E. Broadway Street Glendale, California 91205 (1991)
Bernal, J., Bobadilla, J., Gómez, P.: Reconocimiento de voz y fonética acústica. Ed. Alfaomega Ra-Ma, Madrid, España (2000)
Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, 3rd edn., November 26, 1998. Springer, Heidelberg (1998)
Hilera, J., Martínez, V.: Redes Neuronales Artificiales Fundamentos, modelos y aplicaciones. Alfaomega, Madrid, España (2000)
Weibel, A., Hanazawa, T., Hinton, G., Shikano, K., Lang, K.J.: Phoneme Recognition Using Time Delay Neural Networks. In: IEEE Trans. Acoustics, Speech, Signal Proc., ASSP-37, 32’339 (1989)
Orozco Garca, J., Reyes-García, C.A.: Clasificación de Llanto del Bebé Utilizando una Red Neural de Gradiente Conjugado Escalado. In: Memorias de MICAI/TAIA 2002, Mérida, Yuc, México, April 2002, pp. 203–213 (2002), ISBN 970-18-7825-6
PhD Reyes Carlos A. Sistema Inteligente de Comandos Hablados para Control de Dispositivos Caseros, Mxico. Project Supported by COSNET (2005)
Boersma, P., Weenink, D.: Praat, doing phonetics by computer version 4.3.09 www.praat.org. Copyright 1992-2005 by Institute of Phonetic Sciences. University of Amsterdam Herengracht 3381016CG Amsterdam (2005)
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Quixtiano-Xicohténcatl, R., Reyes-Galaviz, O.F., Flores-Pulido, L., Reyes-García, C.A. (2006). Hybrid Algorithm Applied to Feature Selection for Speaker Authentication. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_103
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DOI: https://doi.org/10.1007/11925231_103
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