57 search results - page 2 / 12 » Bayesian speaker recognition using Gaussian mixture model an... |
UAI
2003
13 years 6 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
JMLR
2012
11 years 7 months ago
2012
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...
ICPR
2010
IEEE
13 years 12 months ago
2010
IEEE
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...