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ASpIRE Development and Development Test Sets

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DataCite Commons2021-07-01 更新2025-04-16 收录
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<h3>Introduction</h3><br> <p>ASpIRE Development and Development Test Sets was developed for the Automatic Speech recognition In Reverberant Environments (ASpIRE) <a href="https://www.iarpa.gov/index.php/working-with-iarpa/prize-challenges/306-automatic-speech-in-reverberant-environments-aspire-challenge">Challenge</a> sponsored by IARPA (the Intelligent Advanced Research Projects Activity). It contains approximately 226 hours of English speech with transcripts and scoring files.</p><br> <p>The ASpIRE challenge asked solvers to develop innovative speech recognition systems that could be trained on conversational telephone speech, and yet work well on far-field microphone data from noisy, reverberant rooms. Participants had the opportunity to evaluate their techniques on a common set of challenging data that included significant room noise and reverberation.</p><br> <h3>Data</h3><br> <p>The audio data is a subset of Mixer 6 Speech (<a href="../../../LDC2013S03">LDC2013S03</a>), audio recordings of interviews, transcript readings and conversational telephone speech collected by the Linguistic Data Consortium in 2009 and 2010 from native English speakers local to the Philadelphia area. The transcripts were developed by <a href="http://www.appen.com/">Appen</a> for the ASpIRE challenge.</p><br> <p>Data is divided into development and development test sets.</p><br> <p>Audio is presented as single channel, 16kHz 16-bit Signed Integer PCM *.wav files. Transcripts are plain text tdf files. Scoring files are also included.</p><br> <h3>Samples</h3><br> <p>Please view this&nbsp;<a href="desc/addenda/LDC2017S21.wav">audio sample</a> and <a href="desc/addenda/LDC2017S21.txt">transcript sample</a>.</p><br> <h3>Updates</h3><br> <p>None at this time.</p></br> Portions © 2014 U.S. Government, © 2009-2010, 2013, 2017 Trustees of the University of Pennsylvania

创建时间:
2020-11-30
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ASpIRE Development and Development Test Sets 数据集图片
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背景概述
该数据集专为ASpIRE挑战设计,包含约226小时英语语音及转录,用于开发在嘈杂混响环境下工作的语音识别系统,数据来源于Mixer 6 Speech,包括远场麦克风和电话语音。
以上内容由遇见数据集搜集并总结生成
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