IARPA Babel Cebuano Language Pack IARPA-babel301b-v2.0b

Item Name: IARPA Babel Cebuano Language Pack IARPA-babel301b-v2.0b
Author(s): Lucy Andresen, Aric Bills, Judith Bishop, Thomas Conners, Luanne Dela Cruz, Eyal Dubinski, Jonathan G. Fiscus, Mary Harper, Hanh Le, Arlene Maurillo, Jennifer Melot, Josh Phillips, Jessica Ray, Anton Rytting, Wade Shen, Ronnie Silber, Evelyne Tzoukermann
LDC Catalog No.: LDC2018S07
ISBN: 1-58563-848-X
ISLRN: 755-737-897-163-6
DOI: https://doi.org/10.35111/f0b3-5398
Release Date: June 15, 2018
Member Year(s): 2018
DCMI Type(s): Sound, Text
Sample Type: alaw
Sample Rate: 8000
Data Source(s): telephone conversations
Application(s): speech recognition
Language(s): Cebuano
Language ID(s): ceb
License(s): IARPA Babel Cebuano Agreement (For-Profit)
IARPA Babel Cebuano Agreement (Non-Member)
IARPA Babel Cebuano Agreement (Not-For-Profit)
Online Documentation: LDC2018S07 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Andresen, Lucy, et al. IARPA Babel Cebuano Language Pack IARPA-babel301b-v2.0b LDC2018S07. Web Download. Philadelphia: Linguistic Data Consortium, 2018.
Related Works: View


IARPA Babel Cebuano Language Pack IARPA-babel301b-v2.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 191 hours of Cebuano conversational and scripted telephone speech collected in 2013 and 2014 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 Cebuano speech in this release represents that spoken in the Cebu-North Kana, Sialo, and Mindanao dialect regions of the Philippines. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 75 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.


Please view this audio sample and transcript sample.


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