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2008 NIST Speaker Recognition Evaluation Test Set
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| Item Name: | 2008 NIST Speaker Recognition Evaluation Test Set |
| Authors: | NIST Multimodal Information Group |
| LDC Catalog No.: | LDC2011S08 |
| ISBN: | 1-58563-594-4 |
| Release Date: | Oct 21, 2011 |
| Data Type: | speech, text |
| Sample Rate: | 8000 Hz |
| Sampling Format: | ulaw |
| Data Source(s): | microphone speech, telephone speech |
| Project(s): | NIST SRE |
| Application(s): | speech recognition |
| Language(s): | Arabic, Bengali, Chinese, Egyptian Arabic, English, Farsi, Hindi, Italian, Japanese, Korean, Lao, Punjabi, Russian, Tagalog, Tamil, Thai, Urdu, Uzbek, Vietnamese, Wu Chinese, Yue Chinese |
| Language ID(s): | ary, arz, ben, cmn, fas, hin, ita, jpn, kor, lao, nan, pan, rus, tam, tgl, tha, urd, uzb, vie, wuu, yue |
| Distribution: | 9 DVD |
| Member fee: | $0 for 2011 members |
| Non-member Fee: | US $2000.00 |
| Reduced-License Fee: | US $1800.00 |
| Extra-Copy Fee: | US $1800.00 |
| Non-member License: | yes |
| Online documentation: | yes |
| Licensing Instructions: | Subscription Members, Standard Members, Non-Members |
| Citation: | NIST Multimodal Information Group 2011 2008 NIST Speaker Recognition Evaluation Test Set Linguistic Data Consortium, Philadelphia |
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Introduction
2008 NIST Speaker Recognition Evaluation Test Set, Linguistic Data
Consortium (LDC) catalog number LDC2011S08 and ISBN 1-58563-594-4, was
developed by 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 at the
NIST web
site for the 2008 SRE and within the
2008 SRE Evaluation Plan.
Data
The speech data in this release was collected in 2007 by LDC at its
Human Subjects Data Collection Laboratories 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 Copyright
Portions © 2007, 2011 Trustees of the University of Pennsylvania
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