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157
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ICASSP
2011
IEEE
14 years 8 months ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
ICASSP
2011
IEEE
14 years 8 months ago
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
George E. Dahl, Dong Yu, Li Deng, Alex Acero
ICASSP
2011
IEEE
14 years 8 months ago
Loquendo - Politecnico di Torino's 2010 NIST speaker recognition evaluation system
This paper describes the improvement introduced in the Loquendo–Politecnico di Torino (LPT) speaker recognition system submitted to the NIST SRE10 evaluation campaign. This syst...
Fabio Castaldo, Daniele Colibro, Claudio Vair, San...
159
Voted
AAAI
2012
13 years 7 months ago
Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults
Many signals of interest are corrupted by faults of an unknown type. We propose an approach that uses Gaussian processes and a general “fault bucket” to capture a priori uncha...
Michael A. Osborne, Roman Garnett, Kevin Swersky, ...
167
Voted
COLT
2007
Springer
15 years 9 months ago
Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector
We study generalized bootstrapped confidence regions for the mean of a random vector whose coordinates have an unknown dependence structure, with a non-asymptotic control of the co...
Sylvain Arlot, Gilles Blanchard, Étienne Ro...