IARPA Babel Swahili Language Pack IARPA-babel202b-v1.0d
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https://catalog.ldc.upenn.edu/LDC2017S05
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<h3>Introduction</h3><br>
<p>IARPA Babel Swahili Language Pack IARPA-babel202b-v1.0d was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="http://www.iarpa.gov/index.php/research-programs/babel">Babel</a> program. It contains approximately 350 hours of Swahili conversational and scripted telephone speech collected from 2012-2014 along with corresponding transcripts.</p><br>
<p>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.</p><br>
<h3>Data</h3><br>
<p>The Swahili speech in this release represents that spoken in the Nairobi dialect region of Kenya. 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.</p><br>
<p>Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format or 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.</p><br>
<p>Additional evaluation data is available from <a href="http://www.nist.gov/">NIST</a> in support of <a href="http://www.nist.gov/itl/iad/mig/openkws.cfm">OpenKWS</a>.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2017S05.sph">speech sample</a> and <a href="desc/addenda/LDC2017S05.txt">transcript sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2015 U.S. Government</br>
<br>The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
提供机构:
Linguistic Data Consortium
创建时间:
2020-11-30



