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» Universal background model based speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Perceptual differentiation modeling explains phoneme mispronunciation by non-native speakers
One of the difficulties in second language (L2) learning is the weakness in discriminating between acoustic diversity within an L2 phoneme category and between different categori...
Christos Koniaris, Olov Engwall
ICML
2003
IEEE
15 years 10 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky

Lab
815views
16 years 26 days ago
Video/Image Modeling and Synthesis (VIMS) Lab
VIMS Lab is situated in Department of Computer & Information Sc, University of Delaware, Newark, DE. USA. At VIMS we work on various problems related to image/video processing...
ACL
2008
14 years 11 months ago
Applying a Grammar-Based Language Model to a Simplified Broadcast-News Transcription Task
We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the proba...
Tobias Kaufmann, Beat Pfister
ICASSP
2008
IEEE
15 years 4 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell