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ICASSP
2011
IEEE
14 years 10 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
JMLR
2012
13 years 8 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
ICIP
2005
IEEE
16 years 7 months ago
Three-dimensional feature detection using optimal steerable filters
We present a framework for feature detection in 3-D using steerable filters. These filters can be designed to optimally respond to a particular type of feature by maximizing sever...
François Aguet, Mathews Jacob, Michael Unse...
ICASSP
2009
IEEE
16 years 27 days ago
Expectation-maximization algorithm for multi-pitch estimation and separation of overlapping harmonic spectra
This paper addresses the problem of multi-pitch estimation, which consists in estimating the fundamental frequencies of multiple harmonic sources, with possibly overlapping partia...
Roland Badeau, Valentin Emiya, Bertrand David
MFCS
2009
Springer
16 years 21 days ago
A General Class of Models of
Abstract. We recently introduced an extensional model of the pure λcalculus living in a cartesian closed category of sets and relations. In this paper, we provide sufficient condi...
Giulio Manzonetto