%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 02:54:51 PM

@INPROCEEDINGS{BenZeghiba_icassp-03,
                      author = {BenZeghiba, Mohamed Faouzi and Bourlard, Herv{\'{e}}},
                    projects = {Idiap},
                       title = {{H}ybrid {HMM/ANN} and {GMM} {C}ombination for User-{C}ustomized {P}assword {S}peaker {V}erification},
                   booktitle = {Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03)},
                        year = {2003},
                        note = {IDIAP-RR 02-45},
                    crossref = {benzeghiba-02c},
                    abstract = {Recently we have proposed an approach for user-customized password speaker verification; in this approach, we combined a hybrid HMM/ANN model (used for utterance verification) and a GMM model (used for speaker verification). In this paper, we extend our investigations. First, we propose a new similarity measure that uses confidence measures developed in the HMM/ANN framework. Secondly, we analyze the contribution of each model using a weighted sum combination technique. Experiments conducted on a subset of the PolyVar database show that for a short password the performance of the combined system did not improve significantly compared to the performance using the GMM model alone, and that the HMM/ANN did not contribute much in the combined system. We discuss possible reasons for this.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-45.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-45.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{BenZeghiba-02c,
                      author = {BenZeghiba, Mohamed Faouzi and Bourlard, Herv{\'{e}}},
                    projects = {Idiap},
                       title = {{H}ybrid {HMM/ANN} and {GMM} {C}ombination for User-{C}ustomized {P}assword {S}peaker {V}erification},
                        type = {Idiap-RR},
                      number = {Idiap-RR-45-2002},
                        year = {2002},
                 institution = {IDIAP},
                        note = {in Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03,',','),
 2003},
                    abstract = {Recently we have proposed an approach for user-customized password speaker verification; in this approach, we combined a hybrid HMM/ANN model (used for utterance verification) and a GMM model (used for speaker verification). In this paper, we extend our investigations. First, we propose a new similarity measure that uses confidence measures developed in the HMM/ANN framework. Secondly, we analyze the contribution of each model using a weighted sum combination technique. Experiments conducted on a subset of the PolyVar database show that for a short password the performance of the combined system did not improve significantly compared to the performance using the GMM model alone, and that the HMM/ANN did not contribute much in the combined system. We discuss possible reasons for this.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-45.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-45.ps.gz},
ipdmembership={speech},
}