Citation
D'haro Enríquez, Luis Fernando and Glembek, Ondřej and Plchot, Oldřich and Matějka, Pavel and Soufifar, Mehdi and Córdoba Herralde, Ricardo de and Černocký, Jan
(2012).
Phonotactic language recognition using i-vectors and phoneme posteriogram counts.
In: "InterSpeech 2012 - 13th Annual Conference of the International Speech Communication Association", 09/09/2012 - 13/09/2012, Portland, Oregon. pp. 1-4.
Abstract
This paper describes a novel approach to phonotactic LID, where instead of using soft-counts based on phoneme lattices, we use posteriogram to obtain n-gram counts. The high-dimensional vectors of counts are reduced to low-dimensional units for which we adapted the commonly used term i-vectors. The reduction is based on multinomial subspace modeling and is designed to work in the total-variability space. The proposed technique was tested on the NIST 2009 LRE set with better results to a system based on using soft-counts (Cavg on 30s: 3.15% vs 3.43%), and with very good results when fused with an acoustic i-vector LID system (Cavg on 30s acoustic 2.4% vs 1.25%). The proposed technique is also compared with another low dimensional projection system based on PCA. In comparison with the original soft-counts, the proposed technique provides better results, reduces the problems due to sparse counts, and avoids the process of using pruning techniques when creating the lattices.
