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» On Fitting Mixture Models
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TASLP
2010
138views more  TASLP 2010»
15 years 3 months ago
Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals
— Extracting the main melody from a polyphonic music recording seems natural even to untrained human listeners. To a certain extent it is related to the concept of source separat...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
TASLP
2010
109views more  TASLP 2010»
15 years 3 months ago
Model-Based Expectation-Maximization Source Separation and Localization
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
Michael I. Mandel, Ron J. Weiss, Daniel P. W. Elli...
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ICASSP
2011
IEEE
14 years 8 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
CVPR
2012
IEEE
13 years 7 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
ICASSP
2008
IEEE
15 years 11 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell