IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5

Item Name: IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5
Author(s): Jess Andresen, Aric Bills, Eyal Dubinski, Jonathan G. Fiscus, Breanna Gillies, Mary Harper, T. J. Hazen, Amy Jarrett, Bergul Roomi, Jessica Ray, Anton Rytting, Wade Shen, Evelyne Tzoukermann
LDC Catalog No.: LDC2016S10
ISBN: 1-58563-772-6
ISLRN: 039-483-741-269-9
Release Date: October 19, 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): Turkish
Language ID(s): tur
License(s): IARPA Babel Turkish Agreement (Not-For-Profit)
IARPA Babel Turkish Agreement (For-Profit)
IARPA Babel Turkish Agreement (Non-Member)
Online Documentation: LDC2016S10 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Andresen, Jess, et al. IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5 LDC2016S10. Web Download. Philadelphia: Linguistic Data Consortium, 2016.

Introduction

IARPA Babel Turkish Language Pack IARPA-babel105b-v0.5 was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 213 hours of Turkish 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 Turkish speech in this release represents that spoken in seven dialect regions in Turkey. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 70 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.

All 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.

Updates

None at this time.

Samples

Please view this audio sample and transcript sample.

Available Media

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