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51
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ICASSP
2010
IEEE
15 years 1 months ago
A novel estimation of feature-space MLLR for full-covariance models
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
ICASSP
2010
IEEE
15 years 1 months ago
A comparison of nonstaggered compact FDTD schemes for the 3D wave equation
This paper aims at providing a better insight into the 3D approximations of the wave equation using compact finite-difference timedomain (FDTD) schemes in the context of room aco...
Konrad Kowalczyk, Maarten van Walstijn
ICASSP
2010
IEEE
15 years 1 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
112
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
102
Voted
ICASSP
2010
IEEE
15 years 1 months ago
On expectation maximization based channel and noise estimation beyond the vector Taylor series expansion
In this work, we show how expectation maximization based simultaneous channel and noise estimation can be derived without a vector Taylor series expansion. The central idea is to ...
Friedrich Faubel, John W. McDonough, Dietrich Klak...