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» On the use of speaker superfactors for speaker recognition
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CSL
2006
Springer
13 years 7 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
TASLP
2008
154views more  TASLP 2008»
13 years 7 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
ENGL
2006
111views more  ENGL 2006»
13 years 7 months ago
Voice Recognition with Neural Networks, Type-2 Fuzzy Logic and Genetic Algorithms
We describe in this paper the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case of speaker recognition by analyz...
Patricia Melin, Jérica Urías, Daniel...
LREC
2010
191views Education» more  LREC 2010»
13 years 8 months ago
The SignSpeak Project - Bridging the Gap Between Signers and Speakers
The SignSpeak project will be the first step to approach sign language recognition and translation at a scientific level already reached in similar research fields such as automat...
Philippe Dreuw, Hermann Ney, Gregorio Martinez, On...
ICASSP
2010
IEEE
13 years 7 months ago
Speaker independent visual-only language identification
We describe experiments in visual-only language identification (VLID), in which only lip shape, appearance and motion are used to determine the language of a spoken utterance. In...
Jacob L. Newman, Stephen J. Cox