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2008 NIST Speaker Recognition Evaluation Training Set Part 1
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| Item Name: | 2008 NIST Speaker Recognition Evaluation Training Set Part 1 |
| Authors: | NIST Multimodal Information Group |
| LDC Catalog No.: | LDC2011S05 |
| ISBN: | 1-58563-587-1 |
| Release Date: | Aug 15, 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, Cantonese, Chinese, Egyptian Arabic, English, Farsi, Georgian, Hindi, Italian, Japanese, Khmer, Korean, Lao, Mandarin Chinese, Min Nan Chinese, Punjabi, Russian, Spanish, Tagalog, Thai, Tigrinya, Urdu, Uzbek, Vietnamese, Wu Chinese |
| Language ID(s): | ary, arz, ben, cmn, eng, fas, hin, ita, jpn, kat, khm, kor, lao, nan, pan, rus, spa, tgl, tha, tir, 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 Training Set Part 1 Linguistic Data Consortium, Philadelphia |
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2008 NIST Speaker Recognition Evaluation (SRE) Training Set Part 1
Introduction
2008 NIST Speaker Recognition Evaluation Training Set Part 1 was
developed by LDC and NIST (National Institute of Standards and Technology).
It contains 640 hours of multilingual telephone speech and English interview
speech along with transcripts and other materials used as training data in the
2008 NIST
Speaker Recognition Evaluation (SRE).
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.
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, Berkley.
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 predominately English, but also includes the languages identified above. All interview
segments are in English. Telephone speech represents approximately 565 hours of the data, whereas
microphone speech represents the other 75 hours.
The telephone speech segments include excerpts in the range of 8-12 seconds
and 5 minutes from longer original conversations. The interview material includes
short conversation interview segments of approximately 3 minutes from a longer
interview session. As in prior evaluations, intervals of silence were
not removed. Also, two separate conversation channels are provided (to aid systems in
echo cancellation, dialog analysis, etc.). 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.
Content Copyright
Portions © 2007, 2011 Trustees of the University of Pennsylvania
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