Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004


Alvin Martin (1), David Miller (2), Mark Przybocki (1), Joseph Campbell (3), Hirotaka Nakasone (4)

(1) National Institute of Standards and Technology, Gaithersburg, MD, USA; (2) University of Pennsylvania, Linguistic Data Consortium, Philadelphia, PA, USA; (3) MIT Lincoln Laboratory, Lexington, MA, USA; (4) Federal Bureau of Investigation, Quantico, VA, USA




This paper discusses some of the factors that should be considered when designing a speech corpus collection to be used for text-independent speaker recognition evaluation. The factors include telephone handset type, telephone transmission type, language, and (non-telephone) microphone type. The paper describes the design of the new corpus collection being undertaken by the Linguistic Data Consortium (LDC) to support the 2004 and subsequent NIST speech recognition evaluations. Some preliminary information on the resulting 2004 evaluation test set is offered.


speaker recognition, speaker verification, speaker detection, speaker corpus, speaker evaluation, text-independent evaluation

Language(s) English, Arabic, Mandarin, Russian, Spanish
Full Paper