OLAC Language Resource Catalog

Navigation Aids

OLAC Language Resource Catalog
Search for language resources
 

Main Content

2008 NIST Speaker Recognition Evaluation Test Set
Title:
2008 NIST Speaker Recognition Evaluation Test Set
ID:
LDC2011S08
https://catalog.ldc.upenn.edu/LDC2011S08
ISBN: 1-58563-594-4
ISLRN: 289-720-923-302-6
Online:
Yes
Archive:
Date:
2011
Publisher:
Linguistic Data Consortium
https://www.ldc.upenn.edu
Description:
*Introduction* 2008 NIST Speaker Recognition Evaluation Test Set was developed by the Linguistic Data Consortium (LDC) and NIST (National Institute of Standards and Technology). It contains 942 hours of multilingual telephone speech and English interview speech along with transcripts and other materials used as test data in the 2008 NIST Speaker Recognition Evaluation (SRE). NIST SRE is part of an ongoing series of evaluations conducted by NIST. These evaluations are 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 is designed to be simple, to focus on core technology issues, to be fully supported, and to be accessible to those wishing to participate. The 2008 evaluation was distinguished from prior evaluations, in particular those in 2005 and 2006, by including not only conversational telephone speech data but also conversational speech data of comparable duration recorded over a microphone channel involving an interview scenario. LDC previously released the 2008 NIST SRE Training Set in two parts as LDC2011S05 and LDC2011S07. Additional documentation is available in the 2008 SRE Evaluation Plan. *Data* The speech data in this release was collected in 2007 by LDC at its Human Subjects Collection facility in Philadelphia and by the International Computer Science Institute (ICSI) at the University of California, Berkeley. This collection was part of the Mixer 5 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 and in different communicative situations and/or in multiple languages. Mixer participants were native English and bilingual English speakers. The telephone speech in this corpus is predominantly English, but also includes the above languages. All interview segments are in English. Telephone speech represents approximately 368 hours of the data, whereas microphone speech represents the other 574 hours. The telephone speech segments include two-channel excerpts of approximately 10 seconds and 5 minutes. There are also summed-channel excerpts in the range of 5 minutes. The microphone excerpts are either 3 or 8 minutes in length. As in prior evaluations, intervals of silence were not removed. There are approximately six files distributed as part of SRE08 where each file is a 1024 byte header with no audio. However, these files were not included in the trials or keys distributed in the SRE08 aggregate corpus. English language transcripts in .cfm format were produced using an automatic speech recognition (ASR) system. *Samples* For an example of the data contained in this corpus, review this audio sample. *Updates* None at this time.
Content language:
Yue Chinese
Wu Chinese
Vietnamese
Uzbek
Urdu
Thai
Tagalog
Tamil
Russian
Panjabi
Min Nan Chinese
Lao
Korean
Japanese
Italian
Hindi
Persian
Mandarin Chinese
Bengali
Egyptian Arabic
Moroccan Arabic
Dari
Iranian Persian
English
Chinese
Arabic
Linguistic type:
Primary text
DCMI type:
Sound
Other format:
Sampling Rate: 8000
Sampling Format: ulaw
Distribution: Web Download
Other language:
Yue Chinese
Wu Chinese
Vietnamese
Uzbek
Urdu
Thai
Tagalog
Tamil
Russian
Panjabi
Min Nan Chinese
Lao
Korean
Japanese
Italian
Hindi
Persian
Mandarin Chinese
Bengali
Egyptian Arabic
Moroccan Arabic
Dari
Iranian Persian
English
Chinese
Arabic
Other rights:
Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Rights holder: Portions © 2007, 2011 Trustees of the University of Pennsylvania
Complete OLAC record:
Link for this page:

Find Related Information:
Archive: The LDC Corpus Catalog
Online: Yes
Linguistic type: Primary text
DCMI type: Sound
Content language: Arabic
Content language: Bengali
Content language: Chinese
Content language: Dari
Content language: Egyptian Arabic
Date: 2000 and later
Date: 2010 - 2019
Contributor: NIST Multimodal Information Group
Publisher: Linguistic Data Consortium
Publisher: https://www.ldc.upenn.edu
Title: 2008 NIST Speaker Recognition Evaluation Test Set
Other format: Distribution: Web Download
Other format: Sampling Format: ulaw
Other format: Sampling Rate: 8000
Other language: Arabic
Other language: Bengali
Other language: Chinese
Other language: Dari
Other language: Egyptian Arabic
Other rights: LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Other rights: Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Other rights: Rights holder: Portions © 2007, 2011 Trustees of the University of Pennsylvania