IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e
|Item Name:||IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e|
|Author(s):||Nikki Adams, Aric Bills, Thomas Conners, Eyal Dubinski, Jonathan G. Fiscus, Mary Harper, Willa Lin, Jennifer Melot, Jessica Ray, Anton Rytting, Wade Shen, Ronnie Silber, Evelyne Tzoukermann, Jamie Wong|
|LDC Catalog No.:||LDC2017S19|
|Release Date:||September 14, 2017|
|DCMI Type(s):||Sound, Text|
|Data Source(s):||telephone conversations|
IARPA Babel Zulu Agreement (For-Profit)
IARPA Babel Zulu Agreement (Not-For-Profit)
IARPA Babel Zulu Agreement (Non-Member)
|Online Documentation:||LDC2017S19 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Adams, Nikki, et al. IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e LDC2017S19. Web Download. Philadelphia: Linguistic Data Consortium, 2017.|
|Related Works: Hide||View|
IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 211 hours of Zulu 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.
The Zulu speech in this release represents that spoken in the KZN (KwaZulu-Natal)-urban dialect region of South Africa. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 70 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.
None at this time.
CopyrightPortions © 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.