OLAC Record
oai:www.ldc.upenn.edu:LDC2017S19

Metadata
Title:IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Adams, Nikki, et al. IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e LDC2017S19. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Adams, Nikki
Bills, Aric
Conners, Thomas
Dubinski, Eyal
Fiscus, Jonathan G.
Harper, Mary
Lin, Willa
Melot, Jennifer
Ray, Jessica
Rytting, Anton
Shen, Wade
Silber, Ronnie
Tzoukermann, Evelyne
Wong, Jamie
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-09-14
Description:*Introduction* IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 211 hours of Zulu conversational and scripted telephone speech collected in 2012 and 2013 along with corresponding transcripts. The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Zulu speech in this release represents that spoken in the KZN (KwaZulu-Natal)-urban dialect region of South Africa. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 70 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle. Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release. Evaluation data is available from NIST in support of OpenKWS. *Samples* Please view this audio sample and transcript sample. *Updates* None at this time.
Extent:Corpus size: 12466408 KB
Format:Sampling Rate: 8000
Sampling Format: a-law
Identifier:LDC2017S19
https://catalog.ldc.upenn.edu/LDC2017S19
ISBN: 1-58563-815-3
ISLRN: 562-487-689-567-8
DOI: 10.35111/te29-8988
Language:Zulu
Language (ISO639):zul
License:IARPA Babel Zulu Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-zulu-agreement-for-profit.pdf
IARPA Babel Zulu Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-zulu-agreement-non-member.pdf
IARPA Babel Zulu Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-zulu-agreement-not-for-profit.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2017S19
Rights Holder:Portions © 2015 U.S. Government,

The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
Type (DCMI):Sound
Text
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
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2017S19
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Adams, Nikki; Bills, Aric; Conners, Thomas; Dubinski, Eyal; Fiscus, Jonathan G.; Harper, Mary; Lin, Willa; Melot, Jennifer; Ray, Jessica; Rytting, Anton; Shen, Wade; Silber, Ronnie; Tzoukermann, Evelyne; Wong, Jamie. 2017. Linguistic Data Consortium.
Terms: area_Africa country_ZA dcmi_Sound dcmi_Text iso639_zul olac_primary_text


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Up-to-date as of: Mon Aug 29 8:27:35 EDT 2022