OLAC Record

Title:IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Benowitz, Daniel, et al. IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b LDC2019S03. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:Benowitz, Daniel
Bills, Aric
Bishop, Judith
Conners, Thomas
David, Anne
Dubinski, Eyal
Fiscus, Jonathan G.
Harper, Mary
Hefright, Brook
Le, Hanh
Melot, Jennifer
Ray, Jessica
Rytting, Anton
Shen, Sinney
Smith, Rosanna
Shen, Wade
Silber, Ronnie
Tzoukermann, Evelyne
Date (W3CDTF):2019
Date Issued (W3CDTF):2019-02-15
Description:*Introduction* IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 210 hours of Lithuanian conversational and scripted telephone speech collected in 2013 and 2014 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 Lithuanian speech in this release represents that spoken in the Aukštaitian and Samogitian dialect regions of Lithuania. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 71 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: 12102768 KB
Format:Sampling Rate: 8000
Sampling Format: alaw
ISBN: 1-58563-876-5
ISLRN: 551-173-969-653-6
DOI: 10.35111/m5qd-dk93
Language (ISO639):lit
License:IARPA Babel Lithuanian Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-lithuanian-agreement-for-profit.pdf
IARPA Babel Lithuanian Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-lithuanian-agreement-non-member.pdf
IARPA Babel Lithuanian Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-lithuanian-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/LDC2019S03
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
Type (OLAC):primary_text


Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
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OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2019S03
DateStamp:  2022-12-06
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Search Info

Citation: Benowitz, Daniel; Bills, Aric; Bishop, Judith; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Harper, Mary; Hefright, Brook; Le, Hanh; Melot, Jennifer; Ray, Jessica; Rytting, Anton; Shen, Sinney; Smith, Rosanna; Shen, Wade; Silber, Ronnie; Tzoukermann, Evelyne. 2019. Linguistic Data Consortium.
Terms: area_Europe country_LT dcmi_Sound dcmi_Text iso639_lit olac_primary_text

Up-to-date as of: Mon Mar 25 7:21:03 EDT 2024