Resource: IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b

Reference IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b
Date of Submission July 16, 2020, 10:26 p.m.
Status accepted
ISLRN 133-899-222-167-3
Resource Type Primary Text
Media Type Text, Audio
Source
Language Javanese
Format/MIME Type application/octet-stream, text/plain, audio/x-wav
Size 10660508 KB
Access Medium Web Download
Description

Introduction

IARPA Babel Javanese Language Pack IARPA-babel402b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Javanese conversational and scripted telephone speech collected in 2014 and 2015 along with corresponding transcripts.

The Babel program focused on underserved languages and sought to develop speech recognition technology that could be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.

Data

The Javanese speech in this release represents the Central, Western, and Eastern Javanese dialect regions of Indonesia. 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 and 48kHz 24-bit PCM encoded audio in wav format.

Transcripts are encoded in UTF-8 in Latin script; they cover approximately 77% of the speech data. 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 (SPH) and transcript sample (TXT).

Updates

None at this time.

Version 1.0
Creator Eyal Dubinski , Mary Harper , Jessica Ray , Anton Rytting , Aric Bills , Anne David , Ketty Gann , Michael Kazi , Fred Richardson , Thomas Conners , Hanh Le , Nicolas Malyska , Jennifer Melot , Jonathan G. Fiscus , Jacqui Zwanenburg , Luanne Dela Cruz , Nicolas Malyska
Distributor Linguistic Data Consortium
Rights Holder Portions © 2015 U.S. Government </br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.