2000 NIST Speaker Recognition Evaluation
|Item Name:||2000 NIST Speaker Recognition Evaluation|
|Author(s):||Mark Przybocki, Alvin Martin|
|LDC Catalog No.:||LDC2001S97|
|Data Source(s):||telephone speech|
|Application(s):||speaker verification, speaker segmentation and tracking, speaker identification, speech recognition|
LDC User Agreement for Non-Members
|Online Documentation:||LDC2001S97 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Przybocki, Mark, and Alvin Martin. 2000 NIST Speaker Recognition Evaluation LDC2001S97. Web Download. Philadelphia: Linguistic Data Consortium, 2001.|
2000 NIST Speaker Recognition Evaluation is part of an ongoing series of yearly evaluations conducted by NIST. These evaluations provide an important contribution to the direction of research efforts and the calibration of technical capabilities. They are intended to be of interest to all researchers working on the general problem of text independent speaker recognition. To this end, the evaluation was designed to be simple, to focus on core technology issues, to be fully supported, and to be accessible.
This publication consists of 10,328 single channel SPHERE files encoded in 8-bit mulaw containing a total of approximately 4.31 Gbytes of data covering 148.9 hours of conversational telephone speech collected by LDC.
Supporting documentation for this evaluation may be found in the 2000 Speaker Recognition Evaluation Plan.
An optional additional corpus, the AHUMADA corpus, was included in the 2000 evaluation. Information about this corpus can be obtained from Javier Ortega-Garcia, Universidad Politecnica de Madrid.
As of June, 27, 2017, 1,426 files that were not included in this release were added to the corpus. Downloads after that date will contain the complete data set.