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» Reconstructing Boolean Models of Signaling
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ICASSP
2009
IEEE
15 years 4 months ago
Modal expansion of HRTFs: Continuous representation in frequency-range-angle
This paper proposes a continuous HRTF representation in both 3D spatial and frequency domains. The method is based on the acoustic reciprocity principle and a modal expansion of t...
Wen Zhang, Thushara D. Abhayapala, Rodney A. Kenne...
ICASSP
2011
IEEE
14 years 1 months ago
Non-negative matrix deconvolution in noise robust speech recognition
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
ICASSP
2011
IEEE
14 years 1 months ago
Discriminative training for Bayesian sensing hidden Markov models
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
George Saon, Jen-Tzung Chien
TASLP
2008
104views more  TASLP 2008»
14 years 9 months ago
A New Model-Based Algorithm for Optimizing the MPEG-AAC in MS-Stereo
Abstract--In this paper, a new model-based algorithm for optimizing the MPEG-Advanced Audio Coder (AAC) in MS-stereo mode is presented. This algorithm is an extension to stereo sig...
Olivier Derrien, Gaël Richard
ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...