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139
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HAIS
2008
Springer
15 years 7 months ago
Learning to Trade with Incremental Support Vector Regression Experts
Giovanni Montana, Francesco Parrella
175
Voted
ICPR
2006
IEEE
16 years 7 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
168
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures
This article presents a technique that uses the intensity vector direction exploitation (IVDE) method for exhaustive separation of convolutive mixtures. While only a four-element ...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
160
Voted
TASLP
2008
102views more  TASLP 2008»
15 years 6 months ago
Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics
Various techniques have previously been proposed for the separation of convolutive mixtures. These techniques can be classified as stochastic, adaptive, and deterministic. Stochast...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
181
Voted
ICASSP
2009
IEEE
16 years 1 months ago
Comparing maximum a posteriori vector quantization and Gaussian mixture models in speaker verification
Gaussian mixture model - universal background model (GMMUBM) is a standard reference classifier in speaker verification. We have recently proposed a simplified model using vect...
Tomi Kinnunen, Juhani Saastamoinen, Ville Hautam&a...