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» Reconstructing Boolean Models of Signaling
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ICASSP
2009
IEEE
16 years 17 days 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 9 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 9 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»
15 years 5 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 10 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...