153 search results - page 20 / 31 » Bayesian sensing hidden Markov models for speech recognition |
201
click to vote
IJCNN
2006
IEEE
16 years 3 days 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...
166
Voted
ICML
2005
IEEE
16 years 6 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...
230
Voted
ICASSP
2010
IEEE
15 years 28 days 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 ...
140
Voted
ICASSP
2011
IEEE
14 years 9 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...
184
click to vote
ICASSP
2008
IEEE
16 years 16 days 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 ...