153 search results - page 20 / 31 » Bayesian sensing hidden Markov models for speech recognition |
111
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IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
82
Voted
ICML
2005
IEEE
15 years 12 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
130
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ICASSP
2010
IEEE
14 years 6 months ago
2010
IEEE
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
110
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ICASSP
2008
IEEE
15 years 5 months ago
2008
IEEE
In this paper we present a family of algorithms for estimating stream weights for dynamic Bayesian networks with multiple observation streams. For the 2 stream case, we present a ...