Description and analysis of the Brno276 system for LRE2011

Niko Brummer, Sandro Cumani, Ondrej Glembek, Martin Karafiat, Pavel Matejka, Jan Pesan, Oldrich Plchot, Mehdi Soufifar, Edward de Villiers and Jan Cernocky

 

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Abstract

This paper contains a description of data, systems and fusions developed by the joint team of Brno University of Technol- ogy (BUT), Politecnico di Torino (PoliTo) and AGNITIO for the NIST 2011 Language Recognition Evaluation. The primary submission was a fusion of one acoustic and three phonotactic systems, with extensive use of sub-space projections for both approaches. The results are analysed from the view-point of the new NIST measure involving the N = 24 worst language pairs. Some of the results are compared to the MIT-LL submission. As in our previous work, we conclude that having lots of carefully processed data is as important as having good algorithms.

Keywords

Language Recognition