Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
A Real-Time Text- Independent Speaker Identification System
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A speaker pruning algorithm for real-time speaker identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Real-time speaker identification and verification
IEEE Transactions on Audio, Speech, and Language Processing
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Speaker identification applications are the highly commercialized during the speaker recognition and voice biometrics applications. Like other applications it has been experiencing an increasing market and investor interest [1]. However, it is still an open area for research. In this paper we considered creating a real-time speaker identification system as an optimization problem. However, many researches proceeded in this direction. Here, we took a newly proposed technique proposed by Karpov [2] to compare our technique with it. The results, when testing both systems on ELSDSR voices database, show that the newly proposed technique is better than the old proposed one in terms of timing, memory usage and accuracy.