OLAC Record
oai:www.ldc.upenn.edu:LDC2020S07

Metadata
Title:IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b
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 Javanese Language Pack IARPA-babel402b-v1.0b LDC2020S07. Web Download. Philadelphia: Linguistic Data Consortium, 2020
Contributor:Bills, Aric
Conners, Thomas
David, Anne
Cruz, Luanne Dela
Dubinski, Eyal
Fiscus, Jonathan G.
Gann, Ketty
Harper, Mary
Kazi, Michael
Le, Hanh
Malyska, Nicolas
Melot, Jennifer
Ray, Jessica
Richardson, Fred
Rytting, Anton
Zwanenburg, Jacqui
Date (W3CDTF):2020
Date Issued (W3CDTF):2020-07-15
Description:*Introduction* IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Javanese conversational and scripted telephone speech collected in 2014 and 2015 along with corresponding transcripts. The Babel program focused on underserved languages and sought to develop speech recognition technology that could be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Javanese speech in this release represents the Central, Western, and Eastern Javanese dialect regions of Indonesia. 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 in Latin script; they cover approximately 77% of the speech data. 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 (SPH) and transcript sample (TXT). *Updates* None at this time.
Extent:Corpus size: 10660508 KB
Format:Sampling Rate: 8000
Sampling Format: alaw
Identifier:LDC2020S07
https://catalog.ldc.upenn.edu/LDC2020S07
ISBN: 1-58563-937-0
ISLRN: 133-899-222-167-3
DOI: 10.35111/6N78-9C72
Language:Javanese
Language (ISO639):jav
License:IARPA Babel Javanese Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-javanese-agreement-for-profit.pdf
IARPA Babel Javanese Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-javanese-agreement-non-member.pdf
IARPA Babel Javanese Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-javanese-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/LDC2020S07
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:LDC2020S07
DateStamp:  2020-08-10
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Bills, Aric; Conners, Thomas; David, Anne; Cruz, Luanne Dela; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kazi, Michael; Le, Hanh; Malyska, Nicolas; Melot, Jennifer; Ray, Jessica; Richardson, Fred; Rytting, Anton; Zwanenburg, Jacqui. 2020. Linguistic Data Consortium.
Terms: area_Asia country_ID dcmi_Sound dcmi_Text iso639_jav olac_primary_text


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Up-to-date as of: Thu Jul 21 8:43:52 EDT 2022