OLAC Record
oai:www.ldc.upenn.edu:LDC2017S06

Metadata
Title:2010 NIST Speaker Recognition Evaluation Test Set
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Greenberg, Craig, et al. 2010 NIST Speaker Recognition Evaluation Test Set LDC2017S06. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Greenberg, Craig
Martin, Alvin
Graff, David
Brandschain, Linda
Walker, Kevin
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-04-17
Description:*Introduction* 2010 NIST Speaker Recognition Evaluation Test Set was developed by the Linguistic Data Consortium (LDC) and NIST (National Institute of Standards and Technology). It contains 2,255 hours of American English telephone speech and speech recorded over a microphone channel involving an interview scenario used as test data in the NIST-sponsored 2010 Speaker Recognition Evaluation (SRE). The ongoing series of SRE yearly evaluations conducted by NIST are intended to be of interest to researchers working on the general problem of text independent speaker recognition. To this end the evaluations are designed to be simple, to focus on core technology issues, to be fully supported, and to be accessible to those wishing to participate. The 2010 evaluation was similar to the 2008 evaluation by including in the training and test conditions for the core test not only conversational telephone speech (CTS) recorded over ordinary telephone channels, but also CTS and conversational interview speech recorded over a room microphone channel. Unlike prior evaluations, some of the conversational telephone style speech was collected in a manner to produce particularly high, or particularly low, vocal effort on the part of the speaker of interest. *Data* The speech recordings in this release were collected in 2009 and 2010 by LDC at its Human Subjects Collection facility in Philadelphia. This collection was part of the Mixer 6 project, which was designed to support the development of robust speaker recognition technology by providing carefully collected and audited speech from a large pool of speakers recorded simultaneously across numerous microphones. The telephone speech segments include two-channel excerpts of approximately 5 minutes and 10 seconds. There are also summed-channel excerpts in the range of 5 minutes. The microphone excerpts are 3-15 minutes in duration. As in prior evaluations, intervals of silence were not removed. The data included in this release is 8 bit ulaw with a sample rate of 8 kHz. In addition to evaluation data, this package also consists of answer keys, trial and train files, development data and evaluation documentation. *Samples* For an example of the data in this corpus, please listen to this sample (SPH). *Updates* None at this time.
Extent:Corpus size: 111473192 KB
Format:Sampling Rate: 8000
Sampling Format: ulaw
Identifier:LDC2017S06
https://catalog.ldc.upenn.edu/LDC2017S06
ISBN: 1-58563-795-5
ISLRN: 429-091-121-265-4
DOI: 10.35111/fjsq-a117
Language:English
Language (ISO639):eng
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2017S06
Rights Holder:Portions © 2009, 2010, 2017 Trustees of the University of Pennsylvania
Type (DCMI):Sound
Type (OLAC):primary_text

OLAC Info

Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
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OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2017S06
DateStamp:  2021-11-16
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Greenberg, Craig; Martin, Alvin; Graff, David; Brandschain, Linda; Walker, Kevin. 2017. Linguistic Data Consortium.
Terms: area_Europe country_GB dcmi_Sound iso639_eng olac_primary_text


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