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
Speaker Recognition The A TVS-UAM System at NIST SRE 05
IEEE Aerospace and Electronic Systems Magazine ; 22 , 1 ; 15-21
2007-01-01
4468045 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Online Contents | 2007
|Handprinted word recognition on a NIST data set
British Library Online Contents | 1995
|British Library Conference Proceedings | 1995
|Speaker Recognition in Adverse Conditions
IEEE | 2007
|Articles - Automatic Speaker Recognition Variability
Online Contents | 2000
|