Please use this identifier to cite or link to this item:
|Title:||How to Reduce Dimension while Improving Performance|
|Keywords:||genetic algorithm; feature selection; speaker recognition.|
|Abstract:||This paper addresses the feature subset selection for an automatic Arabic speaker recognition system. An effective algorithm based on genetic algorithm is proposed for discovering the best feature combinations using feature reduction and recognition error rate as performance measure. Experimentation is carried out using QSDAS corpora. The results of experiments indicate that, with the optimized feature subset, the performance of the system is improved. Moreover, the speed of recognition is significantly increased, number of features is reduced over 60% which consequently decrease the complexity of our ASR system|
|Appears in Collections:||Publications Internationales|
Files in This Item:
|“How to Reduce Dimension while Improving Performance.pdf||461,03 kB||Adobe PDF||View/Open|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.