40 search results - page 3 / 8 » Maximum Likelihood and Maximum a Posteriori Adaptation for D... |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper extends our previous work on feature transformationbased support vector machines for speaker recognition by proposing a joint MAP adaptation of feature transformation (...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
ESCIENCE
2006
IEEE
14 years 1 months ago
2006
IEEE
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...