A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Fundamentals of speech recognition
Fundamentals of speech recognition
Machine Learning
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Support Vector Machines: Training and Applications
Support Vector Machines: Training and Applications
Features and measures for speaker recognition
Features and measures for speaker recognition
Multi-speaker voice cryptographic key generation
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Fighting coercion attacks in key generation using skin conductance
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Parameter optimization in a text-dependent cryptographic-speech-key generation task
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
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In this work we show a performance improvement of our system by taking into account the weights of the mixture of Gaussians of the Hidden Markov Model. Furthermore and independently tunning of each of the phoneme Support Vector Machine (SVM) parameters is performed. In our system the user utters a pass phrase and the phoneme waveform segments are found using the Automatic Speech Recognition Technology. Given the speech model and the phoneme information in the segments, a set of features are created to train an SVM that could generate a cryptographic key. Applying our method to a set of 10, 20, and 30 speakers from the YOHO database, the results show a good improvement compared with our last configuration, improving the robustness in the generation of the cryptographic key.