Multi Objective Optimization Problem resolution based on Hybrid Ant-Bee Colony for Text Independent Speaker Verification

Multi Objective Optimization Problem resolution based on Hybrid Ant-Bee Colony for Text Independent Speaker Verification

Автор: J. Sirisha Devi, Srinivas Yarramalle

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 1 vol.7, 2015 года.

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Today major section of automatic speaker verification (ASV) research is focused on multiple objectives like optimization of feature subset and minimization of Equal Error Rate (EER). As such, numerous systems for feature dimension reduction are proposed. This includes framework coaching and testing analysis for every feature set that could be a time esurient trip. Because of its significance, the issue of feature selection has been researched by numerous scientists. In this paper, a new feature subset selection procedure is presented. Hybrid of Ant Colony and Artificial Bee Colony optimized the feature subset over 85% thereby decreased the computational complexity of ASV. Additionally an external record is maintained to store non-dominated solution vectors for which concept of Pareto dominance is used. An overall optimization of 87% is achieved thereby improved the recognition rate of ASV.

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Ant Colony Optimization, Artificial Bee Colony, multi-objective Optimization, Gaussian Mixture Model

Короткий адрес: https://sciup.org/15014724

IDR: 15014724

Список литературы Multi Objective Optimization Problem resolution based on Hybrid Ant-Bee Colony for Text Independent Speaker Verification

  • Gish, H., Schmidt, M. "Text-independent speaker recognition". IEEE Signal Process. Magazine (October), 18–32, 1994.
  • Shahla Nemati, "Text-dependent speaker verification using ant colony optimization-based selected features", Expert Systems with Applications 38 (2011) 620–630.
  • Hazem Ahmed, "Swarm Intelligence: Concept, Models and Applications", Technical Report 2012-585.
  • Sandeep Kumar "Improved Onlooker Bee Phase in Artificial Bee Colony Algorithm", International Journal of Computer Applications (0975 – 8887) Volume 90 – No 6, March 2014.
  • Swarm Intelligence and Bio-Inspired Computation Theory and Applications, First Edition 2013, Elsevier Inc.
  • Monica Sood, "Speaker Recognition Based On Cuckoo Search Algorithm", International Journal of Innovative Technology and Exploring Engineering (IJITEE), April 2013.
  • Nishant Pathak, "Travelling Salesman Problem Using Bee Colony With SPV", International Journal of Soft Computing and Engineering (IJSCE), July 2012.
  • Falko Dressler, "A survey on bio-inspired networking", Computer Networks, Volume 54, Issue 6, 29 April 2010, Pages 881-900.
  • Dervis Karaboga, "A comparative study of Artificial Bee Colony algorithm", Applied Mathematics and Computation 214 (2009) 108–132.
  • Dervis Karaboga, "A novel clustering approach: Artificial Bee Colony (ABC) algorithm", Applied Soft Computing 11 (2011) 652–657.
  • Frank Neumann," Ant Colony Optimization and the minimum spanning tree problem", Theoretical Computer Science 411 (2010) 2406_2413.
  • Yoon-Teck Bau, "Ant Colony Optimization Approaches to the Degree-constrained Minimum Spanning Tree Problem", Journal of Information Science and Engineering 24, 1081-1094 (2008).
  • Shunmugapriya Palanisamy, "Artificial Bee Colony Approach for Optimizing Feature Selection", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 3, May 2012.
  • Song Zheng, "Ant Colony Optimization based on Pheromone Trail Centralization", Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21 - 23, 2006, Dalian, China.
  • Ahmed Al-Ani, "Ant Colony Optimization for Feature Subset Selection", proceedings of world academy of science, engineering and technology volume 4 february 2005 ISSN 1307-6884.
  • Taufiq Hasan, John H. L. Hansen, "Acoustic Factor Analysis for Robust Speaker Verification", IEEE Transactions On Audio, Speech, And Language Processing, Vol. 21, No. 4, April 2013.
  • Khalid Saeed and Mohammad Kheir Nammous, "A Speech-and-Speaker Identification System: Feature Extraction, Description, and Classification of Speech-Signal Image", IEEE Transactions on Industrial Electronics Vol. 54, No.2, April 2007, pp. 887-897.
  • Alejandro Bidondo, Shin-ichi Sato, Ezequiel Kinigsberg, Adrián Saavedra, Andrés Sabater, Agustín Arias, Mariano Arouxet, and Ariel Groisman, "Speaker recognition analysis using running autocorrelation function parameters", POMA - ICA 2013 Montreal Volume 19, pp. 060036 (June 2013).
  • J. Sirisha Devi, "Speaker Emotion Recognition Based on Speech Features and Classification Techniques", I.J. Computer Network and Information Security, 2014, 7, 61-77.
  • Taufiq Hasan, Seyed Omid Sadjadi, Gang Liu, Navid Shokouhi, Hynek Boˇril, John H.L. Hansen," Acoustic Factor Analysis for Robust Speaker Verification" Audio, Speech, and Language Processing, IEEE Transactions on (Volume:21, Issue:4), 23 October 2012.
  • Taufiq Hasan, Seyed Omid Sadjadi, Gang Liu, Navid Shokouhi, Hynek Boˇril, John H.L. Hansen," CRSS SYSTEMS FOR 2012 NIST Speaker Recognition Evaluation", ICASSP 2013.
  • Gang Liu, Taufiq Hasan, Hynek Bořil, John H.L. Hansen," An Investigation On Back-End For Speaker Recognition In Multi-Session Enrollment", ICASSP 2013.
  • Balaji Vasan Srinivasan, Yuancheng Luo, Daniel Garcia-Romero, Dmitry N. Zotkin, and Ramani Duraiswami," A Symmetric Kernel Partial Least Squares Framework for Speaker Recognition", IEEE Transactions On Audio, Speech, And Language Processing, Vol. 21, No. 7, July 2013.
  • Tomi Kinnunen, Rahim Saeidi, Filip Sedlák, Kong Aik Lee, Johan Sandberg, Maria Hansson-Sandsten, Haizhou Li," Low-Variance Multitaper MFCC Features: A Case Study in Robust Speaker Verification", IEEE Transactions On Audio, Speech, And Language Processing, Vol. 20, No. 7, September 2012.
  • Khalid Saeed and Mohammad Kheir Nammous, "A Speech-and-Speaker Identification System: Feature Extraction, Description, and Classification of Speech-Signal Image", IEEE Transactions on Industrial Electronics Vol. 54, No.2, April 2007, pp. 887-897.
  • J. Sirisha Devi," Automatic Speech Emotion and Speaker Recognition based on Hybrid GMM and FFBNN", International Journal on Computational Sciences & Applications (IJCSA) Vol.4, No.1, February 2014.
  • Nitisha and Ashu Bansal, "Speaker Recognition Using MFCC Front End Analysis and VQ Modelling Technique for Hindi Words using MATLAB", Hindu College of Engineering, Haryana, India.
  • Alejandro Bidondo, Shin-ichi Sato, Ezequiel Kinigsberg, Adrián Saavedra, Andrés Sabater, Agustín Arias, Mariano Arouxet, and Ariel Groisman, "Speaker recognition analysis using running autocorrelation function parameters", POMA - ICA 2013 Montreal Volume 19, pp. 060036 (June 2013).
  • Tobias May, Steven van de Par, and Armin Kohlrausch," Noise-Robust Speaker Recognition Combining Missing Data Techniques and Universal Background Modeling", IEEE Transactions On Audio, Speech, And Language Processing, Vol. 20, No. 1, January 2012.
  • Wen Wang, Andreas Kathol, Harry Bratt, "Automatic Detection of Speaker Attributes Based in Utterance Text", INTERSPEECH, page 2361-2364. ISCA, (2011).
  • Mohamed Abdel Fattah, "Speaker recognition for Wire/Wireless Communication Systems", The International Arab Journal of Information Technology, Vol.3, No.1, January 2006.
  • N. Murali Krishna, P.V. Lakshmi, Y. Srinivas, J.Sirisha Devi, "Emotion Recognition using Dynamic Time Warping Technique for Isolated Words", IJCSI International Journal Of Computer Science Issues, Vol. 8, Issue 5, No 1, September 2011.
  • C. Garcı´a-Martı´nez, "A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP", European Journal of Operational Research 180 (2007) 116–148.
  • Wenping Zou, "Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm", Hindawi Publishing Corporation Discrete Dynamics in Nature and Society Volume 2011.
  • Guillermo Leguizam´on, "Multi-Objective Ant Colony Optimization: A Taxonomy and Review of Approaches", World Scientific Review Volume - 9in x 6in, May 25, 2010.
  • Abdolreza Rashno, "Highly Efficient Dimension Reduction for Text-Independent Speaker Verification Based on Relieff Algorithm and Support Vector Machines", International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 6, No. 1, February, 2013.
  • Ahmed Elhossini, "Strength Pareto Particle Swarm Optimization and Hybrid EA-PSO forMulti-Objective Optimization", 2010 by the Massachusetts Institute of Technology Evolutionary Computation 18(1): 127–156.
  • M. Dorigo, "Ant System: Optimization by a colony of cooperating agents". IEEE Transactions on Systems, Man, and Cybernetics – Part B, 26:29–41, 1996.
  • G. Di Caro and M. Dorigo. "AntNet: Distributed stigmergetic control for communications networks". Journal of Artificial Intelligence Research, 9:317–365, 1998.
  • R.S. Parpinelli; H.S. Lopes; A.A. Freitas, "Data mining with an ant colony optimization algorithm", IEEE Transactions on Evolutionary Computation, 6: 321 – 332, 2002.
  • R. Montemanni, L.M. Gambardella, A.E. Rizzoli and A.V. Donati. "A new algorithm for a Dynamic Vehicle Routing Problem based on Ant Colony System". Proceedings of ODYSSEUS 2003, 27-30, 2003.
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