IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a

Item Name: IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a
Author(s): Daniel Benowitz, Aric Bills, Judith Bishop, Thomas Conners, Eyal Dubinski, Jonathan G. Fiscus, Mary Harper, Melanie Heighway, Hanh Le, Jennifer Melot, Akiko Onaka, Jessica Ray, Anton Rytting, Wade Shen, Ronnie Silber, Evelyne Tzoukermann
LDC Catalog No.: LDC2017S08
ISBN: 1-58563-794-7
ISLRN: 727-478-824-788-1
DOI: https://doi.org/10.35111/bq21-kf58
Release Date: May 15, 2017
Member Year(s): 2017
DCMI Type(s): Sound, Text
Sample Type: a-law
Sample Rate: 8000
Data Source(s): telephone conversations
Application(s): speech recognition
Language(s): Lao
Language ID(s): lao
License(s): IARPA Babel Lao Agreement (For-Profit)
IARPA Babel Lao Agreement (Non-Member)
IARPA Babel Lao Agreement (Not-For-Profit)
Online Documentation: LDC2017S08 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Benowitz, Daniel, et al. IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a LDC2017S08. Web Download. Philadelphia: Linguistic Data Consortium, 2017.
Related Works: View


IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 207 hours of Lao conversational and scripted telephone speech collected in 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 Lao speech in this release represents that spoken in the Vientiane dialect region in Laos. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 60 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. The romanization scheme was developed by Appen and was based on the scheme developed by the American Library Association and Library of Congress. Further information about transcription methodology is contained in the documentation accompanying this release.

Evaluation data is available from NIST in support of OpenKWS.


Please view this audio sample, transcript sample, and romanized transcript sample.


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