2006 IEEE International Conference on Multimedia and Expo Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs Toronto, ON, Canada July 09-July 12 ISBN: 1-4244-0366-7
In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabilistic support vector machines (SVMs). First, we construct a perceptual filterbank from psycho-acoustic model and incorporate it with the subspace-based enhancement approach. The prior SNR of each subband within the perceptual filterbank is taken to decide the estimator's gain to effectively suppress environmental background noises. Next, this study uses probabilistic SVMs to identify the speaker from the enhanced speech. The superiority of the proposed system has been demonstrated by twenty speaker recognition from AURORA-2 database with in-car noises.
Citation:
Jia-ching Wang, Jhing-fa Wang, Wai-he Kuok, Hsiao-ping Lee, Chung-hsien Yang, "Robust Speaker Recognition using SNR-Aware Subspace-Based Enhancement and Probabilistic SVMs," icme, pp.1161-1164, 2006 IEEE International Conference on Multimedia and Expo, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||