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107
Voted
TSP
2010
14 years 10 months ago
2010
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
109
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
In context-dependent acoustic modeling, it is important to strike a balance between detailed modeling and data sufficiency for robust estimation of model parameters. In the past,...
111
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
In this work we propose the use of Functional Data Analysis (FDA) as a powerful methodology to tackle problems where multiple continuous speech parameters have to be analyzed join...
124
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper presents a novel method for solving the permutation problem inherent to frequency domain blind signal separation of multiple simultaneous speakers. As conventional meth...
187
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...