Nonlinear dynamic neural network for text-independent speaker identification using information theoretic learning technology

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 2442-2445

  Lu, Bing ^a   Yamada, Walter M ^a   Berger, Theodore W ^a  

^a University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; INFORMATION THEORY; LEARNING SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS;

DYNAMIC PROPERTIES; INFORMATICS METRIC; LEARNING TECHNOLOGY; SPEAKER IDENTIFICATION;

SPEECH RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOMETRY; EXPERT SYSTEM; HUMAN; LANGUAGE; METHODOLOGY; NONLINEAR SYSTEM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SOUND DETECTION; SPEECH ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; EXPERT SYSTEMS; HUMANS; LANGUAGE; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOUND SPECTROGRAPHY; SPEECH PRODUCTION MEASUREMENT;

EID: 34047135203     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260525     Document Type: Conference Paper

References (9)

1. J. P. Campbell, "Speaker Recognition: A Tutorial," Proceedings of the IEEE, vol. 85, pp. 1437-1462, 1997.
2. D. A. Reynolds, "An Overview of Automatic Speaker Recognition Technology," ICASSP, vol. 6, 2002.
3. S. Shamma, H. Versnel, and N. Kowalski, "Ripple Analysis in Ferret Primary Auditory Cortex: I. Response Characteristics of Single Units to Sinusoidally Rippled Spectra," Aud. Neurosci., vol. 1, 1995.
4. D. Klein, D. Depireux, J. Simon, and S. Shamma, "Robust Spectro-temporal Reverse Correlation for the Auditory System: Optimizing Stimulus Design," J. Comput. Neurosci., vol. 9, 2000.
5. M. Reyes-Gomez, N. Jojic, and D. P.W. Ellis, "Towards Single-Channel Unsupervised Source Separation of Speech Mixtures: The Layered Harmonies/Formants Separation/Tracking Model," Research Workshop on Statistical and Perceptual Audio Processing, Korea, 2004.
6. C. Koch and T. Poggio, "Biophysics Computation: Neurons, Synapses and Membrances," Synaptic Function, ch. 23, 1987.
7. B. Lu, W. M. Yamada, and T. W. Berger, "Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools," IJCNN, 2006.
8. R. G. Gallager, Information Theory and Reliable Communication, MIT, 1968.
9. A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh, "Clustering with Bregman Divergences," Journal of Machine Learning Research, vol. 6, pp. 1705-1749, 2005.