A New Database for Speaker Recognition

Ling Feng, Lars Kai Hansen

AbstractIn 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.
TypeTechnical report
Year2005
PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
SeriesIMM-Technical Report-2005-05
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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