Advances in phonotactic language recognition

Abstract

This paper summarizes recent advances in PRLM language recognition within the context of the NIST 2007 LR evaluations (LRE). We present a comparison of binary decision tree (BT) vs. N -gram models when adaptation from a universal (background) model (UBM) is used, we introduce multi-models— anchor-model-like approach to scoring, and we adopt the framework of intersession variation using factor analysis.