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NIPS
2000
15 years 5 months ago
Speech Denoising and Dereverberation Using Probabilistic Models
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Hagai Attias, John C. Platt, Alex Acero, Li Deng
CGF
2010
104views more  CGF 2010»
15 years 3 months ago
Interactive, Multiresolution Image-Space Rendering for Dynamic Area Lighting
Area lights add tremendous realism, but rendering them interactively proves challenging. Integrating visibility is costly, even with current shadowing techniques, and existing met...
Greg Nichols, Rajeev Penmatsa, Chris Wyman
INFORMATICALT
2006
109views more  INFORMATICALT 2006»
15 years 3 months ago
Discrimination of Homographs Distorted by a Lengthy Impulsive Noise
Abstract. The paper addresses the problem of discrimination of homographs when a lengthy segment of an uttered word is missing. The considered discrimination procedure is done by r...
Sarunas Paulikas, Dalius Navakauskas
TIP
2010
137views more  TIP 2010»
14 years 10 months ago
Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps
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...
Koray Kayabol, Ercan E. Kuruoglu, José Luis...
ICASSP
2011
IEEE
14 years 7 months ago
Adaptive frequency-domain biased estimation algorithms with automatic adjustment of shrinkage factors
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Sheng Li, Rodrigo C. de Lamare, Martin Haardt