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ICASSP
2011
IEEE
12 years 11 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
11 years 10 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
14 years 9 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
14 years 2 months 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
14 years 2 months 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