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ICASSP
2011
IEEE
14 years 10 months ago
Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification
In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and tho...
Pavel Matejka, Ondrej Glembek, Fabio Castaldo, M. ...
ICASSP
2011
IEEE
14 years 10 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
OL
2011
177views Neural Networks» more  OL 2011»
14 years 9 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
APPROX
2011
Springer
284views Algorithms» more  APPROX 2011»
14 years 6 months ago
On Approximating the Number of Relevant Variables in a Function
In this work we consider the problem of approximating the number of relevant variables in a function given query access to the function. Since obtaining a multiplicative factor ap...
Dana Ron, Gilad Tsur
CORR
2012
Springer
171views Education» more  CORR 2012»
14 years 2 months ago
Random Feature Maps for Dot Product Kernels
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Purushottam Kar, Harish Karnick