Language recognition via i-vectors and dimensionality reduction
Najim Dehak, Pedro A. Torres‐Carrasquillo, Douglas A. Reynolds, Réda Dehak · 2011
In this paper, a new language identification system is presented based on the total variability approach previously developed in the field of speaker identification. Various techniques are em-ployed to extract the most salient features in the lower dimen-sional i-vector space and the system developed results in excel-lent performance on the 2009 LRE evaluation set without the need for any post-processing or backend techniques. Additional performance gains are observed when the system is combined with other acoustic systems.