IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g
Item Name: | IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g |
Author(s): | Judith Bishop, Thomas Conners, Jonathan G. Fiscus, Breanna Gillies, Mary Harper, T. J. Hazen, Amy Jarrett, Willa Lin, María Encarnación Pérez Molina, Shawna Rafalko, Jessica Ray, Anton Rytting, Wade Shen, Evelyne Tzoukermann |
LDC Catalog No.: | LDC2016S13 |
ISBN: | 1-58563-779-3 |
ISLRN: | 934-396-101-948-2 |
DOI: | https://doi.org/10.35111/mp23-rd11 |
Release Date: | December 15, 2016 |
Member Year(s): | 2016 |
DCMI Type(s): | Sound, Text |
Sample Type: | a-law |
Sample Rate: | 8000 |
Data Source(s): | telephone conversations |
Application(s): | speech recognition |
Language(s): | Tagalog |
Language ID(s): | tgl |
License(s): |
IARPA Babel Tagalog Agreement (For-Profit) IARPA Babel Tagalog Agreement (Non-Member) IARPA Babel Tagalog Agreement (Not-For-Profit) |
Online Documentation: | LDC2016S13 Documents |
Licensing Instructions: | Subscription & Standard Members, and Non-Members |
Citation: | Bishop, Judith, et al. IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g LDC2016S13. Web Download. Philadelphia: Linguistic Data Consortium, 2016. |
Related Works: | View |
Introduction
IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 213 hours of Tagalog 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 Tagalog speech in this release represents that spoken in the North, Central and South dialect regions in the Philippines. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 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.
Samples
Please view these audio and transcription samples.
Updates
None at this time.
Copyright
Portions © 2015 U.S. GovernmentThe U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.