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2006 NIST Speaker Recognition Evaluation Test Set Part 1
Information about this record
Title: |
2006 NIST Speaker Recognition Evaluation Test Set Part 1
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ID: |
LDC2011S10
https://catalog.ldc.upenn.edu/LDC2011S10
ISBN: 1-58563-600-2
ISLRN: 293-615-042-213-8
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Online: |
Yes
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Archive: | |
Date: |
2011
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Publisher: |
Linguistic Data Consortium
https://www.ldc.upenn.edu
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Description: |
*Introduction*
2006 NIST Speaker Recognition Evaluation Test Set Part 1 was developed by LDC and NIST (National Institute of Standards and
Technology). It contains 437 hours of conversational telephone and microphone speech in English, Arabic, Bengali, Chinese,
Farsi, Hindi, Korean, Russian, Spanish, Thai and Urdu and associated English transcripts used as test data in the NIST-sponsored
2006 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 task of the 2006 SRE evaluation was speaker detection, that is, to determine whether a specified speaker is speaking during
a given segment of conversational telephone speech. The task was divided into 15 distinct and separate tests involving one
of five training conditions and one of four test conditions. Further information about the test conditions and additional
documentation is available in the 2006 SRE Evaluation Plan.
LDC also previously released 2006 NIST Speaker Recognition Evaluation Training Set.
*Data*
The speech data in this release was collected by LDC as part of the Mixer project, in particular Mixer Phases 1, 2 and 3.
The Mixer project supports 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. The data is mostly English speech, but includes some speech in Arabic, Bengali, Chinese, Farsi,
Hindi, Korean, Russian, Spanish, Thai and Urdu.
The telephone speech segments are multi-channel data collected simultaneously from a number of auxiliary microphones. The
files are organized into four types: two-channel excerpts of approximately 10 seconds, two-channel conversations of approximately
5 minutes, summed-channel conversations also of approximately 5 minutes and a two-channel conversation with the usual telephone
speech replaced by auxiliary microphone data in the putative target speaker channel. The auxiliary microphone conversations
are also of approximately five minutes in length.
The speech files are stored as 8-bit u-law speech signals in separate SPHERE files. In addition to the standard header fields,
the SPHERE header for each file contains some auxiliary information such as the language of the conversation.
English language transcripts in .ctm 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.
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Content language: |
Yue Chinese
Urdu
Thai
Spanish
Russian
Korean
Hindi
Persian
English
Mandarin Chinese
Bengali
Standard Arabic
Dari
Iranian Persian
Chinese
Arabic
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Linguistic type: |
Primary text
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DCMI type: |
Sound
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Other format: |
Sampling Rate: 8000
Sampling Format: ulaw
Distribution: Web Download
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Other language: |
Yue Chinese
Urdu
Thai
Spanish
Russian
Korean
Hindi
Persian
English
Mandarin Chinese
Bengali
Standard Arabic
Dari
Iranian Persian
Chinese
Arabic
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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 © 2004-2006, 2011 Trustees of the University of Pennsylvania
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