Citation
L. Ferrer, H. Bratt, L. Burget, H. Cernocky, O. Glembek, M. Graciarena, A. Lawson, Y. Lei, P. Matejka, O. Pichot, and N. Scheffer, “Promoting robustness for speaker modeling in the community: the PRISM evaluation set,” in Proc.NIST Speaker Recognition Analysis Workshop (SRE11), 2011, pp. 1–7.
Abstract
We introduce a new database for evaluation of speaker recognition systems. This database involves types of variability already seen in NIST speaker recognition evaluations(SREs) like language, channel, speech style and vocal effort, and new types not yet available on any standard database like severe noise, and reverberation. The database is created using data from NIST SREs from 2004 to 2010. We present results of a state-of-the-art system on the different subset of this database. The database will be publicly available, and this work aims at encouraging other sites to adopt it and improve it.
