OLAC Record
oai:www.ldc.upenn.edu:LDC2017S13

Metadata
Title:IARPA Babel Tamil Language Pack IARPA-babel204b-v1.1b
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Bills, Aric, et al. IARPA Babel Tamil Language Pack IARPA-babel204b-v1.1b LDC2017S13. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Bills, Aric
Bishop, Judith
Conners, Thomas
Corris, Miriam
David, Anne
Dubinski, Eyal
Fiscus, Jonathan G.
Harper, Mary
Kaiser-Schatzlein, Alice
Melot, Jennifer
Paget, Shelley
Ray, Jessica
Rytting, Anton
Shen, Wade
Silber, Ronnie
Tzoukermann, Evelyne
Viswanath, Arun
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-07-18
Description:*Introduction* IARPA Babel Tamil Language Pack IARPA-babel204b-v1.1b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 350 hours of Tamil 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 Tamil speech in this release represents that spoken in the Northern, Central, Southern and Western dialect regions of the Indian state of Tamil Nadu. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 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. The romanization scheme was developed by Appen. Further information about transcription methodology is contained in the documentation accompanying this release. Additional evaluation data is available from NIST in support of OpenKWS. *Samples* Please view the following samples: * Audio * Transcript * Romanized Transcript *Updates* None at this time.
Extent:Corpus size: 9341528 KB
Format:Sampling Rate: 8000
Sampling Format: a-law
Identifier:LDC2017S13
https://catalog.ldc.upenn.edu/LDC2017S13
ISBN: 1-58563-807-2
ISLRN: 744-786-064-362-9
DOI: 10.35111/3j2w-kb06
Language:Tamil
Language (ISO639):tam
License:IARPA Babel Tamil Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-tamil-agreement-for-profit.pdf
IARPA Babel Tamil Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-tamil-agreement-non-member.pdf
IARPA Babel Tamil Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-tamil-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/LDC2017S13
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:LDC2017S13
DateStamp:  2022-12-06
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Bills, Aric; Bishop, Judith; Conners, Thomas; Corris, Miriam; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Harper, Mary; Kaiser-Schatzlein, Alice; Melot, Jennifer; Paget, Shelley; Ray, Jessica; Rytting, Anton; Shen, Wade; Silber, Ronnie; Tzoukermann, Evelyne; Viswanath, Arun. 2017. Linguistic Data Consortium.
Terms: area_Asia country_IN dcmi_Sound dcmi_Text iso639_tam olac_primary_text


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Up-to-date as of: Thu Oct 24 7:31:00 EDT 2024