IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7

Item Name: IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7
Author(s): Tony Andrus, Aric Bills, Miriam Corris, Eyal Dubinski, Jonathan G. Fiscus, Breanna Gillies, Mary Harper, T. J. Hazen, Brook Hefright, Amy Jarrett, Hanh Le, Jessica Ray, Anton Rytting, Ronnie Silber, Wade Shen, Evelyne Tzoukermann
LDC Catalog No.: LDC2017S01
ISBN: 1-58563-784-X
ISLRN: 401-277-958-467-7
Release Date: January 19, 2017
Member Year(s): 2017
DCMI Type(s): Sound, Text
Sample Type: a-law
Sample Rate: 8000
Data Source(s): telephone conversations
Application(s): speech recognition
Language(s): Vietnamese
Language ID(s): vie
License(s): IARPA Babel Vietnamese Agreement (For-Profit)
IARPA Babel Vietnamese Agreement (Non-Member)
IARPA Babel Vietnamese Agreement (Not-For-Profit)
Online Documentation: LDC2017S01 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Andrus, Tony, et al. IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7 LDC2017S01. Web Download. Philadelphia: Linguistic Data Consortium, 2017.

Introduction

IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7 was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 201 hours of Vietnamese 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 Vietnamese speech in this release represents that spoken in the North, North-Central, Central and Southern dialect regions in Vietnam. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 64 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 this audio sample and transcript sample.

Updates

None at this time.

 

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