dc.creator | García Perera, Leibny Paola | |
dc.creator | Aceves López, Roberto | |
dc.creator | Nolazco Flores, Juan | |
dc.date.accessioned | 2013-04-09T00:31:41Z | |
dc.date.available | 2013-04-09T00:31:41Z | |
dc.date.created | 2013-04-09T00:31:41Z | |
dc.date.issued | 2011-09-10 | |
dc.identifier | Revista Computación y Sistemas; Vol. 15 No. 1 | |
dc.identifier | 1405-5546 | |
dc.identifier | http://www.repositoriodigital.ipn.mx/handle/123456789/14936 | |
dc.description.abstract | Abstract. This document shows the results of our
Speaker Verification System under two scenarios: the
Face and Speaker Verification Evaluation organized by
MOBIO (MObile BIOmetric consortium) and the results
for the Speaker Recognition Evaluation 2010 organized
by NIST. The core of our system is based on a Gaussian
Mixture Model (GMM) and maximum likelihood (ML)
framework. First, it extracts the important speech
features by computing the Mel Frequency Cepstral
Coefficients (MFCC). Then, the MFCCs train genderdependent
GMMs that are later adapted to obtain
target models. To obtain reliable performance statistics
those target-models evaluate a set of trials and final
scores are calculated. Finally, those scores are tagged as
target or impostor. We tried several system
configurations and found that each database requires a
specific tuning to improve the performance. For the
MOBIO database we obtained an average equal error
rate (EER) of 16.43 %. For the NIST 2010 database we
accomplished an average EER of 16.61%. NIST2010
database considers various conditions. From those
conditions, the interview training and testing
conditions showed the best EER of 10.94 %, followed
by the phone call training phone call testing conditions
of 13.35%. | |
dc.language | en_US | |
dc.publisher | Revista Computación y Sistemas; Vol. 15 No. 1 | |
dc.relation | Revista Computación y Sistemas;Vol. 15 No. 1 | |
dc.subject | Keywords. Speaker verification and authentication. | |
dc.title | Speaker Verification in Different Database Scenarios | |
dc.type | Article | |