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» On sparse signal representations
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ICASSP
2011
IEEE
14 years 10 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
IJON
2007
54views more  IJON 2007»
15 years 6 months ago
Information representation with an ensemble of Hodgkin-Huxley neurons
Motivated by the natural representation of stimuli in sensory systems, we investigate the representation of a bandlimited signal by an ensemble of Hodgkin–Huxley neurons with mu...
Aurel A. Lazar
NOLISP
2005
Springer
16 years 3 days 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
TSD
2005
Springer
16 years 3 days ago
Experimental Evaluation of Tree-Based Algorithms for Intonational Breaks Representation
Abstract. The prosodic specification of an utterance to be spoken by a Textto-Speech synthesis system can be devised in break indices, pitch accents and boundary tones. In particu...
Panagiotis Zervas, Gerasimos Xydas, Nikos Fakotaki...
ESAS
2005
Springer
16 years 4 days ago
An Advanced Method for Joint Scalar Multiplications on Memory Constraint Devices
Abstract. One of the most frequent operations in modern cryptosystems is a multi-scalar multiplication with two scalars. Common methods to compute it are the Shamir method and the ...
Erik Dahmen, Katsuyuki Okeya, Tsuyoshi Takagi