IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g

Item Name: IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g
Author(s): 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
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 (Non-Member)
IARPA Babel Tagalog Agreement (Not-For-Profit)
IARPA Babel Tagalog Agreement (For-Profit)
Online Documentation: LDC2016S13 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Conners, Thomas, et al. IARPA Babel Tagalog Language Pack IARPA-babel106-v0.2g LDC2016S13. Web Download. Philadelphia: Linguistic Data Consortium, 2016.

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.

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