Abstract
The problem addressed in this paper concerns the feature subset selection for an automatic speaker verification system. An effective algorithm based on particle swarm optimization is proposed here for discovering the best feature combinations. After feature reduction phase, feature vectors are applied to a Gaussian mixture model which is a text-independent speaker verification model. The performance of proposed system is compared to the performance of a genetic algorithm-based system and the baseline algorithm. Experimentation is carried out, using TIMIT corpora. The results of experiments indicate that with the optimized feature subset, the performance of the system is improved. Moreover, the speed of verification is significantly increased since by use of PSO, number of features is reduced over 85% which consequently decrease the complexity of our ASV system.
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References
Ganchev, T., Zervas, P., Fakotakis, N., Kokkinakis, G.: Benchmarking Feature Selection Techniques on the Speaker Verification Task. In: Fifth International Symposium on Communication Systems, Networks And Digital Signal Processing, pp. 314–318 (2006)
Bimbot, F., et al.: A Tutorial on Text-Independent Speaker Verification. EURASIP Journal on Applied Signal Processing 4, 430–451 (2004)
Jensen, R.: Combining rough and fuzzy sets for feature selection. Ph.D. Thesis, University of Edinburgh (2005)
Nemati, S., Boostani, R., Jazi, M.D.: A Novel Text-Independent Speaker Verification System Using Ant Colony Optimization Algorithm. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds.) ICISP 2008. LNCS, vol. 5099, pp. 421–429. Springer, Heidelberg (2008)
Nemati, S., Basiri, M.E., Ghasem-Aghaee, N., Aghdam, M.H.: A novel ACO-GA hybrid algorithm for feature selection in protein function prediction. Expert systems with applications 36, 12086–12094 (2009)
Aghdam, M.H., Ghasem-Aghaee, N., Basiri, M.E.: Text Feature Selection using Ant Colony Optimization. Expert systems with applications 36, 6843–6853 (2009)
Day, P., Nandi, A.K.: Robust Text-Independent Speaker Verification Using Genetic Programming. IEEE Transactions on Audio, Speech, and Language Processing 15, 285–295 (2007)
Pandit, M., Kittkr, J.: Feature Selection for a DTW-Based Speaker Verification System, pp. 796–799. IEEE, Los Alamitos (1998)
Cohen, Zigel, Y.: On Feature Selection for Speaker Verification, of COST 275 workshop on The Advent of Biometrics on the Internet (2002)
Basiri, M.E., Ghasem-Aghaee, N., Aghdam, M.H.: Using ant colony optimization-based selected features for predicting post-synaptic activity in proteins. In: Marchiori, E., Moore, J.H. (eds.) EvoBIO 2008. LNCS, vol. 4973, pp. 12–23. Springer, Heidelberg (2008)
Liu, Y., Qin, Z., Xu, Z., He, X.: Feature Selection with Particle Swarms. In: Zhang, J., He, J.-H., Fu, Y. (eds.) CIS 2004. LNCS, vol. 3314, pp. 425–430. Springer, Heidelberg (2004)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceeding of IEEE International Conference on Neural Networks, pp. 1942–1947. IEEE Press, Perth (1995)
Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995)
Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization an overview. J. Swarm Intelligence 1, 33–57 (2007)
Cheung-chi, L.: GMM-Based Speaker Recognition for Mobile Embedded Systems, Ph.D. Thesis, University of Hong Kong (2004)
Mladenič, D.: Feature Selection for Dimensionality Reduction. In: Saunders, C., Grobelnik, M., Gunn, S., Shawe-Taylor, J. (eds.) SLSFS 2005. LNCS, vol. 3940, pp. 84–102. Springer, Heidelberg (2006)
Bins, J.: Feature Selection from Huge Feature Sets in the Context of Computer Vision. Ph.D. dissertation, Department Computer Science, Colorado State University (2000)
Garofolo, J., et al.: DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus CD-ROM. National Institute of Standards and Technology (1990)
Trelea, I.C.: The particle swarm optimization algorithm: Convergence analysis and parameter selection. J. Inf. Process. Lett. 85, 317–325 (2003)
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Nemati, S., Basiri, M.E. (2010). Particle Swarm Optimization for Feature Selection in Speaker Verification. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2010. Lecture Notes in Computer Science, vol 6024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12239-2_39
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DOI: https://doi.org/10.1007/978-3-642-12239-2_39
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