The I3a speaker recognition system for NIST SRE12: post-evaluation analysis
Jesús Villalba, Eduardo Lleida, Alfonso Ortega, Antonio Miguel · 2013
The I3A submission for the recent NIST 2012 speaker recognition evaluation (SRE) was based on the i-vector approach with a multi-channel PLDA classifier. This PLDA is modified so that, for each i-vector, the between-class covariance depends on the type of channel where the segment was recorded (telephone,interviews,clean, noisy, etc). In this paper, we present the description of our submission and a detailed post-evaluation analysis of the results. We analyze several factors affecting performance: enrollment data selection, classifier type, scoring technique, calibration, known and unknown non-targets, target speakers included or not in development, segment duration, noise level and noise type. Some of these factor are new in this evaluation. After post-evaluation, actual costs improve by 15– 43% depending on the common condition.