Loquendo - Politecnico di Torino's 2010 NIST speaker recognition evaluation system

This paper describes the improvement introduced in the Loquendo–Politecnico di Torino (LPT) speaker recognition system submitted to the NIST SRE10 evaluation campaign. This system combines the results of eight core acoustic systems all based on Gaussian Mixture Models (GMMs). We illustrate the key factors, in the selection of the development data and in engineering state-of-the art technology, which contributed to the very good performance and calibration of our system in all the test conditions proposed in this evaluation.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Fabio Castaldo, Daniele Colibro, Claudio Vair, Sandro Cumani, Pietro Laface
• Keywords: Gaussian Mixture Models, ICASSP 2011, Loquendo–politecnico Di Torino, NIST SRE10 Evaluation, Signal Processing