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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Investigations into the incorporation of the Ideal Binary Mask in ASR
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
William Hartmann, Eric Fosler-Lussier
NOLISP
2005
Springer
14 years 1 months ago
MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
Dalei Wu, Andrew C. Morris, Jacques C. Koreman
ICASSP
2011
IEEE
12 years 11 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
LREC
2008
125views Education» more  LREC 2008»
13 years 9 months ago
Evaluation of Natural Language Tools for Italian: EVALITA 2007
EVALITA 2007, the first edition of the initiative devoted to the evaluation of Natural Language Processing tools for Italian, provided a shared framework where participants' ...
Bernardo Magnini, Amedeo Cappelli, Fabio Tamburini...
ICASSP
2009
IEEE
13 years 5 months ago
Volterra series for analyzing MLP based phoneme posterior estimator
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...
Joel Pinto, Garimella S. V. S. Sivaram, Hynek Herm...