IARPA Babel Georgian Language Pack IARPA-babel404b-v1.0a

Item Name: IARPA Babel Georgian Language Pack IARPA-babel404b-v1.0a
Author(s): Aric Bills, Anne David, Eyal Dubinski, Jonathan Fiscus, Simon Hammond, Ketty Gann, Mary Harper, Brook Hefright, Michael Kazi, Julie Lam, Jessica Ray, Fred Richardson, Anton Rytting, Marle Walter
LDC Catalog No.: LDC2016S12
ISBN: 1-58563-774-2
ISLRN: 886-007-695-912-9
Release Date: November 15, 2016
Member Year(s): 2016
DCMI Type(s): Sound, Text
Sample Type: pcm
Sample Rate: 48000
Data Source(s): telephone conversations
Application(s): speech recognition
Language(s): Georgian
Language ID(s): kat
License(s): IARPA Babel Georgian Agreement (Not-For-Profit)
IARPA Babel Georgian Agreement (For-Profit)
IARPA Babel Georgian Agreement (Non-Member)
Online Documentation: LDC2016S12 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Bills, Aric, et al. IARPA Babel Georgian Language Pack IARPA-babel404b-v1.0a LDC2016S12. Web Download. Philadelphia: Linguistic Data Consortium, 2016.

Introduction

IARPA Babel Georgian Language Pack IARPA-babel404b-v1.0a was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 190 hours of Georgian conversational and scripted telephone speech collected in 2014 and 2015 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 Georgian speech in this release represents that spoken in the Eastern and Western dialect regions in Georgia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 73 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 or in 48kHz 24-bit PCM wav format. Transcripts are encoded in UTF-8 using a romanization scheme developed by Appen. Further information about transcription methodology is contained in the documentation accompanying this release.

Evaluation data is available from NIST in support of OpenKWS.

Samples

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Updates

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