Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
The Ant System Applied to the Quadratic Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
A new algorithm for a Dynamic Vehicle Routing Problem based on Ant Colony System
A new algorithm for a Dynamic Vehicle Routing Problem based on Ant Colony System
Ant colony optimization theory: a survey
Theoretical Computer Science
A tutorial on text-independent speaker verification
EURASIP Journal on Applied Signal Processing
Text feature selection using ant colony optimization
Expert Systems with Applications: An International Journal
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The hyper-cube framework for ant colony optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Unsupervised speaker recognition based on competition between self-organizing maps
IEEE Transactions on Neural Networks
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With the growing trend toward remote security verification procedures for telephone banking, biometric security measures and similar applications, automatic speaker verification (ASV) has received a lot of attention in recent years. The complexity of ASV system and its verification time depends on the number of feature vectors, their dimensionality, the complexity of the speaker models and the number of speakers. In this paper, we concentrate on optimizing dimensionality of feature space by selecting relevant features. It presents another method that is based on ant colony optimization (ACO). The performance of the proposed algorithm is compared to the performance of genetic algorithm on the task of feature selection in TIMIT corpora. The results of experiments indicate that with the optimized feature set, the performance of the ASV system is improved.