%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 03:33:17 PM

@INPROCEEDINGS{BenZeghiba_cost275-02,
                      author = {BenZeghiba, Mohamed Faouzi and Bourlard, Herv{\'{e}}},
                    projects = {Idiap},
                       title = {User-{C}ustomized {P}assword {HMM} {B}ased {S}peaker {V}erification},
                   booktitle = {Proceedings of the COST275 Workshop on the Advent of Biometrics on the Internet},
                        year = {2002},
                     address = {Rome, Italy},
                        note = {IDIAP-RR 02-35},
                    crossref = {benzeghiba-02b},
                    abstract = {is presented. The system has no {\it a priori} knowledge of passwords. A hybrid HMM/ANN system is used to infer the phonetic transcription of the password. The emission probabilities are then modeled by a multi-Gaussians HMM model. Evaluation experiments, conducted on PolyVar database, showed results comparable with a system where the correct phonetic transcription of the password is known {\it a priori}.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-35.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-35.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{BenZeghiba-02b,
                      author = {BenZeghiba, Mohamed Faouzi and Bourlard, Herv{\'{e}}},
                    projects = {Idiap},
                       title = {User-{C}ustomized {P}assword {HMM} {B}ased {S}peaker {V}erification},
                        type = {Idiap-RR},
                      number = {Idiap-RR-35-2002},
                        year = {2002},
                 institution = {IDIAP},
                        note = {published in The Advent of Biometrics on the Internet (COST 275,',','),
 Rome 2002},
                    abstract = {is presented. The system has no {\it a priori} knowledge of passwords. A hybrid HMM/ANN system is used to infer the phonetic transcription of the password. The emission probabilities are then modeled by a multi-Gaussians HMM model. Evaluation experiments, conducted on PolyVar database, showed results comparable with a system where the correct phonetic transcription of the password is known {\it a priori}.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-35.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-35.ps.gz},
ipdmembership={speech},
}