33 search results - page 2 / 7 » Variational and stochastic inference for Bayesian source sep... |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spe...
ESANN
2006
13 years 5 months ago
2006
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
JMLR
2010
12 years 11 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
TIP
2010
12 years 11 months ago
2010
We propose to model the image differentials of astrophysical source maps by Student's t-distribution and to use them in the Bayesian source separation method as priors. We int...