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 [BibTeX] [Marc21]
Learning the Decision Function for Speaker Verification
Type of publication: Idiap-RR
Citation: bengio:2000:rr00-40
Number: Idiap-RR-40-2000
Year: 2000
Institution: IDIAP
Note: published in IEEE International Conference on Acoustic, Speech, and Signal Processing
Abstract: This paper explores the possibility to replace the usual thresholding decision rule of log likelihood ratios used in speaker verification systems by more complex and discriminant decision functions based for instance on Linear Regression models or Support Vector Machines. Current speaker verification systems, based on generative models such as HMMs or GMMs, can indeed easily be adapted to use such decision functions. Experiments on both text dependent and text independent tasks always yielded performance improvements and sometimes significantly.
Userfields: ipdmembership={speech, learning},
Projects Idiap
Authors Bengio, Samy
MariƩthoz, Johnny
Crossref by bengio:2001:icassp
Added by: [UNK]
Total mark: 0
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