OLAC Record
oai:www.ldc.upenn.edu:LDC2019S08

Metadata
Title:IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Andresen, Lucy, et al. IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c LDC2019S08. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:Andresen, Lucy
Bills, Aric
Bishop, Judith
Brugman, Claudia
Conners, Thomas
David, Anne
Dubinski, Eyal
Fiscus, Jonathan G.
Gann, Ketty
Harper, Mary
Kazi, Michael
Le, Hanh
Malyska, Nicolas
Maurillo, Arlene
Melot, Jennifer
Paget, Shelley
Prebble, Jane Elizabeth
Ray, Jessica
Richardson, Fred
Rytting, Anton
Shen, Sinney
Date (W3CDTF):2019
Date Issued (W3CDTF):2019-05-15
Description:*Introduction* IARPA Babel Guarani Language Pack IARPA-babel305b-v1.0c was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 198 hours of Guarani conversational and scripted telephone speech collected in 2014 and 2015 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 Guarani speech in this release represents that spoken in Paraguay. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 67 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: 11918552 KB
Format:Sampling Rate: 8000
Sampling Format: alaw
Identifier:LDC2019S08
https://catalog.ldc.upenn.edu/LDC2019S08
ISBN: 1-58563-885-4
ISLRN: 474-524-874-504-3
DOI: 10.35111/qdg9-7a64
Language:Paraguayan Guaraní
Language (ISO639):gug
License:IARPA Babel Guarani Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-guarani-agreement-for-profit.pdf
IARPA Babel Guarani Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-guarani-agreement-non-member.pdf
IARPA Babel Guarani Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-guarani-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/LDC2019S08
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:LDC2019S08
DateStamp:  2022-12-06
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Andresen, Lucy; Bills, Aric; Bishop, Judith; Brugman, Claudia; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kazi, Michael; Le, Hanh; Malyska, Nicolas; Maurillo, Arlene; Melot, Jennifer; Paget, Shelley; Prebble, Jane Elizabeth; Ray, Jessica; Richardson, Fred; Rytting, Anton; Shen, Sinney. 2019. Linguistic Data Consortium.
Terms: area_Americas country_PY dcmi_Sound dcmi_Text iso639_gug olac_primary_text


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Up-to-date as of: Tue Sep 10 8:12:48 EDT 2024