%Aigaion2 BibTeX export from Idiap Publications
%Wednesday 20 November 2024 07:40:34 PM

@TECHREPORT{Khoury_Idiap-RR-32-2013,
         author = {Khoury, Elie and Vesnicer, Bostjan and Franco-Pedroso, Javier and Violato, Ricardo and Boulkenafet, Zenelabidine and Mazaira Fernandez, Luis-Miguel and Diez, Mireia and Kosmala, Justina and Khemiri, Houssemeddine and Cipr, Tomas and Saedi, Rahim and G{\"{u}}nther, Manuel and Zganec-Gros, Jerneja and Zazo Candil, Ruben and Sim{\~{o}}es, Fl{\'{a}}vio and Bengherabi, Messaoud and Alvarez Marquina, Augustin and Penagarikano, Mikel and Abad, Alberto and Boulayemen, Mehdi and Schwarz, Petr and Van Leeuwen, David and Gonzalez-Dom{\i}nguez, Javier and Uliani Neto, M{\'{a}}rio and Boutellaa, Elhocine and Gomez Vilda, Pedro and Varona, Amparo and Petrovska-Delacretaz, Dijana and Matejka, Pavel and Gonzalez-Rodr{\i}guez, Joaquin and de Freitas Pereira, Tiago and Harizi, Farid and Rodriguez-Fuentes, Luis Javier and El Shafey, Laurent and de Assis Angeloni, Marcus and Bordel, German and Chollet, G{\'{e}}rard and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          month = {11},
          title = {The 2013 Speaker Recognition Evaluation in Mobile Environment},
           type = {Idiap-RR},
         number = {Idiap-RR-32-2013},
           year = {2013},
    institution = {Idiap},
       crossref = {Khoury_ICB2013_2013},
       abstract = {This paper evaluates the performance of the twelve primary systems submitted to the evaluation on speaker verification in the context of a mobile environment using the MOBIO database. The mobile environment provides a challenging and realistic test-bed for current state-of-the-art speaker verification techniques. Results in terms of equal error rate (EER), half total error rate (HTER) and detection error tradeoff (DET) confirm that the best performing systems are based on total variability modeling, and fuse several subsystems. Nevertheless, the old good UBM-GMM based systems are still competitive. The results also show that the use of additional data for training as well as gender-dependent features can be helpful.},
            pdf = {https://publications.idiap.ch/attachments/reports/2013/Khoury_Idiap-RR-32-2013.pdf}
}



crossreferenced publications: 
@INPROCEEDINGS{Khoury_ICB2013_2013,
         author = {Khoury, Elie and Vesnicer, Bostjan and Franco-Pedroso, Javier and Violato, Ricardo and Boulkenafet, Zenelabidine and Mazaira Fernandez, Luis-Miguel and Diez, Mireia and Kosmala, Justina and Khemiri, Houssemeddine and Cipr, Tomas and Saedi, Rahim and G{\"{u}}nther, Manuel and Zganec-Gros, Jerneja and Zazo Candil, Ruben and Sim{\~{o}}es, Fl{\'{a}}vio and Bengherabi, Messaoud and Alvarez Marquina, Augustin and Penagarikano, Mikel and Abad, Alberto and Boulayemen, Mehdi and Schwarz, Petr and Van Leeuwen, David and Gonzalez-Dom{\i}nguez, Javier and Uliani Neto, M{\'{a}}rio and Boutellaa, Elhocine and Gomez Vilda, Pedro and Varona, Amparo and Petrovska-Delacretaz, Dijana and Matejka, Pavel and Gonzalez-Rodr{\i}guez, Joaquin and de Freitas Pereira, Tiago and Harizi, Farid and Rodriguez-Fuentes, Luis Javier and El Shafey, Laurent and Angeloni, Marcus and Bordel, German and Chollet, G{\'{e}}rard and Marcel, S{\'{e}}bastien},
       projects = {Idiap, SNSF-LOBI, BEAT},
          month = jun,
          title = {The 2013 Speaker Recognition Evaluation in Mobile Environment},
      booktitle = {The 6th IAPR International Conference on Biometrics},
           year = {2013},
       crossref = {Khoury_Idiap-RR-32-2013},
            pdf = {https://publications.idiap.ch/attachments/papers/2013/Khoury_ICB2013_2013.pdf}
}