IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b

Item Name: IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b
Author(s): Daniel Benowitz, Aric Bills, Thomas Conners, Anne David, Eyal Dubinski, Jonathan G. Fiscus, Mary Harper, Brook Hefright, Hanh Le, Jennifer Melot, Jessica Ray, Anton Rytting, Sinney Shen, Rosanna Smith, Wade Shen, Ronnie Silber, Evelyne Tzoukermann
LDC Catalog No.: LDC2019S03
ISBN: 1-58563-876-5
ISLRN: 551-173-969-653-6
Release Date: February 15, 2019
Member Year(s): 2019
DCMI Type(s): Sound, Text
Sample Type: alaw
Sample Rate: 8000
Data Source(s): telephone conversations
Application(s): speech recognition
Language(s): Lithuanian
Language ID(s): lit
License(s): IARPA Babel Lithuanian Agreement (For-Profit)
IARPA Babel Lithuanian Agreement (Non-Member)
IARPA Babel Lithuanian Agreement (Not-For-Profit)
Online Documentation: LDC2019S03 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Benowitz, Daniel, et al. IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b LDC2019S03. Web Download. Philadelphia: Linguistic Data Consortium, 2019.

Introduction

IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 210 hours of Lithuanian 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.

Data

The Lithuanian speech in this release represents that spoken in the Aukštaitian and Samogitian dialect regions of Lithuania. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 71 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 and 48kHz 24-bit PCM encoded audio in wav 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 this audio sample and transcript sample.

Updates

None at this time.

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