@TECHREPORT\{IMM2005-03662,
    author       = "L. Feng and L. K. Hansen",
    title        = "A New Database for Speaker Recognition",
    year         = "2005",
    number       = "",
    series       = "IMM-Technical Report-2005-05",
    institution  = "Informatics and Mathematical Modelling, Technical University of Denmark, {DTU}",
    address      = "Richard Petersens Plads, Building 321, {DK-}2800 Kgs. Lyngby",
    type         = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/3662-full.html",
    abstract     = "In this paper we discuss properties of speech databases
used for speaker recognition research and evaluation, and
we characterize some popular standard databases. The
paper presents a new database called {ELSDSR} dedicated to
speaker recognition applications. The main characteristics
of this database are: English spoken by non-native
speakers, a single session of sentence reading and
relatively extensive speech samples suitable for learning
person specific speech characteristics."
}