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DSP
2007
14 years 11 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
SPEECH
2010
136views more  SPEECH 2010»
14 years 10 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang
ISCAPDCS
2003
15 years 1 months ago
Utilization of Separate Caches to Eliminate Cache Pollution Caused by Memory Management Functions
Data intensive service functions such as memory allocation/de-allocation, data prefetching, and data relocation can pollute processor cache in conventional systems since the same ...
Mehran Rezaei, Krishna M. Kavi
ICASSP
2011
IEEE
14 years 3 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
ICPR
2008
IEEE
16 years 1 months ago
Separability of ternary Error-Correcting Output Codes
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we pre...
Oriol Pujol, Petia Radeva, Sergio Escalera