*Introduction* 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. *Data* 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. Evaluation data is available from NIST in support of OpenKWS.

Creator(s)

Jonathan Fiscus

Tony Andrus

Eyal Dubinski

Breanna Gillies

Mary Harper

T. J. Hazen

Brook Hefright

Amy Jarrett

Jessica Ray

Anton Rytting

Wade Shen

Evelyne Tzoukermann

Ronnie Silber

Aric Bills

Miriam Corris

Hanh Le

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

Portions © 2015 U.S. Government <br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.