IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7
|Item Name:||IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7|
|Author(s):||Tony Andrus, Aric Bills, Miriam Corris, Eyal Dubinski, Jonathan Fiscus, Breanna Gillies, Mary Harper, T. J. Hazen, Brook Hefright, Amy Jarrett, Hanh Le, Jessica Ray, Anton Rytting, Ronnie Silber, Wade Shen, Evelyne Tzoukermann|
|LDC Catalog No.:||LDC2017S01|
|Release Date:||January 19, 2017|
|DCMI Type(s):||Sound, Text|
|Data Source(s):||telephone conversations|
IARPA Babel Vietnamese Agreement (For-Profit)
IARPA Babel Vietnamese Agreement (Non-Member)
IARPA Babel Vietnamese Agreement (Not-For-Profit)
|Online Documentation:||LDC2017S01 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Andrus, Tony, et al. IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7 LDC2017S01. Web Download. Philadelphia: Linguistic Data Consortium, 2017.|
IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7 was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 201 hours of Vietnamese conversational and scripted telephone speech collected in 2012 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 Vietnamese speech in this release represents that spoken in the North, North-Central, Central and Southern dialect regions in Vietnam. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 64 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. 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.