Speaker Recognition The A TVS-UAM System at NIST SRE 05
Joaquín González-Rodríguez, Daniel Ramos-Castro, Doroteo T. Toledano, Alberto Montero-Asenjo, Javier Gónzalez-Domínguez, Ignacio López Moreno, Julián Fiérrez, Daniel Garcia-Romero, Javier Ortega-García · IEEE Aerospace and Electronic Systems Magazine · 2007
Automatic speaker recognition systems have been largely dominated by acoustic-spectral-based systems, relying in proper modelling of the short-term vocal tract of speakers. However, there is scientific and intuitive evidence that speaker-specific information is embedded in the speech signal in multiple short- and long-term characteristics. In this work, a multilevel speaker recognition system combining acoustic, phonotactic, and prosodic subsystems is presented and assessed by blind submission to NIST 2005 Speaker Recognition Evaluation