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ICASSP
2011
IEEE
13 years 3 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
INTERSPEECH
2010
13 years 6 months ago
On the potential of glottal signatures for speaker recognition
Most of current speaker recognition systems are based on features extracted from the magnitude spectrum of speech. However the excitation signal produced by the glottis is expecte...
Thomas Drugman, Thierry Dutoit
ICASSP
2009
IEEE
14 years 6 months ago
Comparison of scoring methods used in speaker recognition with Joint Factor Analysis
The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art Joint Factor Analysis (JFA) Speaker Recognit...
Ondrej Glembek, Lukas Burget, Najim Dehak, Niko Br...
ICASSP
2009
IEEE
14 years 6 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain