dc.contributor.author | Mateos García, Ismael | |
dc.contributor.author | Ramos Castro, Daniel | |
dc.contributor.author | López Moreno, Ignacio | |
dc.contributor.author | González Rodríguez, Joaquín | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2015-03-03T17:29:39Z | |
dc.date.available | 2015-03-03T17:29:39Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Advances in Biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings. Lecture Notes in Computer Science, Volumen 5558. Springer, 2009. 484-493 | en_US |
dc.identifier.isbn | 978-3-642-01792-6 (print) | en_US |
dc.identifier.isbn | 978-3-642-01793-3 (online) | en_US |
dc.identifier.issn | 0302-9743 (print) | en_US |
dc.identifier.issn | 1611-3349 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/664235 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-01793-3_50 | en_US |
dc.description | Proceedings of Third International Conference, ICB 2009, Alghero, Italy | en_US |
dc.description.abstract | In this paper we propose the use of Support Vector Machine Regression (SVR) for robust speaker verification in two scenarios: i) strong mismatch in speech conditions and ii) forensic environment. The proposed approach seeks robustness to situations where a proper background database is reduced or not present, a situation typical in forensic cases which has been called database mismatch. For the mismatching condition scenario, we use the NIST SRE 2008 core task as a highly variable environment, but with a mostly representative background set coming from past NIST evaluations. For the forensic scenario, we use the Ahumada III database, a public corpus in Spanish coming from real authored forensic cases collected by Spanish Guardia Civil. We show experiments illustrating the robustness of a SVR scheme using a GLDS kernel under strong session variability, even when no session variability is applied, and especially in the forensic scenario, under database mismatch. | en_US |
dc.description.sponsorship | This work has been supported by the Spanish Ministry of Education under project TEC2006-13170-C02-01 | en_US |
dc.format.extent | 11 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Springer Berlin Heidelberg | |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.rights | © Springer-Verlag Berlin Heidelberg 2009 | |
dc.subject.other | Forensic | en_US |
dc.subject.other | GLDS | en_US |
dc.subject.other | Robustness | en_US |
dc.subject.other | Session variability compensation | en_US |
dc.subject.other | Speaker verification | en_US |
dc.subject.other | SVM classification | en_US |
dc.subject.other | SVM regression | en_US |
dc.title | Support vector machine regression for robust speaker verification in mismatching and forensic conditions | en_US |
dc.type | conferenceObject | en |
dc.type | bookPart | en |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-642-01793-3_50 | |
dc.identifier.doi | 10.1007/978-3-642-01793-3_50 | |
dc.identifier.publicationfirstpage | 484 | |
dc.identifier.publicationlastpage | 493 | |
dc.identifier.publicationvolume | 5558 | |
dc.relation.eventdate | June 2-5, 2009 | en_US |
dc.relation.eventnumber | 3 | |
dc.relation.eventplace | Alghero, (Italy) | en_US |
dc.relation.eventtitle | 3rd IAPR/IEEE International Conference on Biometrics, ICB 2009 | en_US |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.contributor.group | Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Escuela Politécnica Superior | |