OLAC Record
oai:www.ldc.upenn.edu:LDC2019S16

Metadata
Title:IARPA Babel Igbo Language Pack IARPA-babel306b-v2.0c
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 Igbo Language Pack IARPA-babel306b-v2.0c LDC2019S16. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:Adams, Nikki
Bills, Aric
Conners, Thomas
David, Anne
Dubinski, Eyal
Fiscus, Jonathan G.
Gann, Ketty
Harper, Mary
Kaiser-Schatzlein, Alice
Kazi, Michael
Malyska, Nicolas
Melot, Jennifer
Onaka, Akiko
Paget, Shelley
Ray, Jessica
Richardson, Fred
Rytting, Anton
Shen, Sinney
Date (W3CDTF):2019
Date Issued (W3CDTF):2019-08-15
Description:*Introduction* IARPA Babel Igbo Language Pack IARPA-babel306b-v2.0c was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 207 hours of Igbo 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 Igbo speech in this release represents the Owerri, Onitsha, and Ngwa dialects spoken in Nigeria. 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 and included for approximately 65% of the speech. 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: 12349048 KB
Format:Sampling Rate: 8000
Sampling Format: alaw
Identifier:LDC2019S16
https://catalog.ldc.upenn.edu/LDC2019S16
ISBN: 1-58563-895-1
ISLRN: 580-409-154-887-2
Language:Igbo
Language (ISO639):ibo
License:IARPA Babel Igbo Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-igbo-agreement-for-profit.pdf
IARPA Babel Igbo Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-igbo-agreement-non-member.pdf
IARPA Babel Igbo Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-igbo-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/LDC2019S16
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 (Discourse):dialogue
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:LDC2019S16
DateStamp:  2019-08-19
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Adams, Nikki; Bills, Aric; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kaiser-Schatzlein, Alice; Kazi, Michael; Malyska, Nicolas; Melot, Jennifer; Onaka, Akiko; Paget, Shelley; Ray, Jessica; Richardson, Fred; Rytting, Anton; Shen, Sinney. 2019. Linguistic Data Consortium.
Terms: area_Africa country_NG dcmi_Sound dcmi_Text iso639_ibo olac_dialogue olac_primary_text


http://www.language-archives.org/item.php/oai:www.ldc.upenn.edu:LDC2019S16
Up-to-date as of: Sun Sep 1 18:19:58 EDT 2019