%Aigaion2 BibTeX export from Idiap Publications
%Saturday 21 December 2024 04:55:14 PM

@ARTICLE{mariethoz:pattern:2006,
         author = {Mari{\'{e}}thoz, Johnny and Bengio, Samy},
       projects = {Idiap},
          title = {A Kernel Trick For Sequences Applied to Text-Independent Speaker Verification Systems},
        journal = {Pattern Recognition},
           year = {2007},
           note = {IDIAP-RR 05-77},
       crossref = {mariethoz:rr05-77},
       abstract = {This paper present a principled SVM based speaker verification system. We propose a new framework and a new sequence kernel that can make use of any Mercer kernel at the frame level. An extension of the sequence kernel based on the Max operator is also proposed. The new system is compared to state-of-the-art GMM and other SVM based systems found in the literature on the Banca and Polyvar databases. The new system outperforms, most of the time, the other systems, statistically significantly. Finally, the new proposed framework clarifies previous SVM based systems and suggests interesting future research directions.},
            pdf = {https://publications.idiap.ch/attachments/papers/2006/mariethoz-pattern-2006.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/papers/2006/mariethoz-pattern-2006.ps.gz},
ipdmembership={learning},
}



crossreferenced publications: 
@TECHREPORT{mariethoz:rr05-77,
         author = {Mari{\'{e}}thoz, Johnny and Bengio, Samy},
       projects = {Idiap},
          title = {A Kernel Trick For Sequences Applied to Text-Independent Speaker Verification Systems},
           type = {Idiap-RR},
         number = {Idiap-RR-77-2005},
           year = {2005},
    institution = {IDIAP},
           note = {To appear in In Pattern Recognition},
       abstract = {This paper present a principled SVM based speaker verification system. We propose a new framework and a new sequence kernel that can make use of any Mercer kernel at the frame level. An extension of the sequence kernel based on the Max operator is also proposed. The new system is compared to state-of-the-art GMM and other SVM based systems found in the literature on the Banca and Polyvar databases. The new system outperforms, most of the time, the other systems, statistically significantly. Finally, the new proposed framework clarifies previous SVM based systems and suggests interesting future research directions.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/mariethoz-idiap-rr-05-77.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/mariethoz-idiap-rr-05-77.ps.gz},
ipdmembership={learning},
}