The majority of speaker verification systems proposed in the NIST speaker recognition evaluation are conditioned on the type of data to be processed: telephone or microphone. In ...
Najim Dehak, Zahi N. Karam, Douglas A. Reynolds, R...
This paper describes the performance of the I4U speaker recognition system in the NIST 2008 Speaker Recognition Evaluation. The system consists of seven subsystems, each with diff...
Haizhou Li, Bin Ma, Kong-Aik Lee, Hanwu Sun, Dongl...
The 2010 NIST Speaker Recognition Evaluation (SRE10) included a test of Human Assisted Speaker Recognition (HASR) in which systems based in whole or in part on human expertise wer...
Craig S. Greenberg, Alvin F. Martin, George R. Dod...
This paper describes the improvement introduced in the Loquendo–Politecnico di Torino (LPT) speaker recognition system submitted to the NIST SRE10 evaluation campaign. This syst...
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...