Advances in phonotactic language recognition
نویسندگان
چکیده
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.
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