The DKU-JNU-EMA Electromagnetic Articulography Database
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<h3>Introduction</h3><br> <p>The DKU-JNU-EMA Electromagnetic Articulography Database was developed by <a href="https://dukekunshan.edu.cn/en">Duke Kunshan University</a> and <a href="https://english.jnu.edu.cn/">Jinan University</a> and contains approximately 10 hours of articulography and speech data in Mandarin, Cantonese, Hakka, and Teochew Chinese from two to seven native speakers for each dialect.</p><br> <p>Electromagnetic articulography (EMA) is a method of measuring the position of parts of the mouth and their movement over time during speech and swallowing. Measurements are made from sensors placed in the mouth to capture real-time vocal tract variable trajectories. EMA is used in linguistics and language-related research to study phonetics, in particular, articulation (how sounds are made).</p><br> <h3>Data</h3><br> <p>Articulatory measurements were made using the <a href="https://www.ndigital.com/">NDI</a> electromagnetic articulography wave research system. Subjects had six sensors placed in various locations in their mouth and one reference sensor was placed on the bridge of their nose. For simultaneous recording of speech signals, subjects also wore a head-mounted close-talk microphone.</p><br> <p>Speakers engaged in four different types of recording sessions: one in which they read complete sentences or short texts, and three sessions in which they read related words of a specific common consonant, vowel or tone.</p><br> <p>Audio data is presented as single channel, 16kHz, 16-bit flac compressed wav files. Articulography data is stored as UTF-8 plain text files.</p><br> <h3>Samples</h3><br> <p>Please view the following samples:</p><br> <ul><br> <li><a href="desc/addenda/LDC2019S14.yue.flac">Cantonese Speech</a></li><br> <li><a href="desc/addenda/LDC2019S14.yue.tsv">Cantonese Sensor Data</a></li><br> <li><a href="desc/addenda/LDC2019S14.yue.wco">Cantonese Parameter Data</a></li><br> <li><a href="desc/addenda/LDC2019S14.cmn.flac">Mandarin Speech</a></li><br> <li><a href="desc/addenda/LDC2019S14.cmn.tsv">Mandarin Sensor Data</a></li><br> <li><a href="desc/addenda/LDC2019S14.cmn.wco">Mandarin Parameter Data</a></li><br> </ul><br> <h3>Updates</h3><br> <p>None at this time.</p></br> Portions © 2019 Duke Kunshan University, © 2019 Jinan University, © 2019 Trustees of the University of Pennsylvania
<h3>简介</h3><br><p>DKU-JNU-EMA电磁发音描记数据库（Electromagnetic Articulography Database）由<a href="https://dukekunshan.edu.cn/en">昆山杜克大学</a>与<a href="https://english.jnu.edu.cn/">暨南大学</a>联合开发，涵盖约10小时的发音描记与语音数据，涉及普通话、粤语、客家话及潮州话四种汉语方言，每种方言对应2至7名母语使用者。</p><br><p>电磁发音描记法（Electromagnetic Articulography, EMA）是一种在言语产生与吞咽过程中，测量口腔各部位位置及其随时间变化的运动轨迹的技术。该技术通过置于口腔内的传感器采集声道变量的实时运动轨迹，广泛应用于语言学及相关语言研究领域，用于探究语音学尤其是发音机制（即语音的产生方式）。</p><br><h3>数据说明</h3><br><p>发音描记数据采用<a href="https://www.ndigital.com/">NDI</a>电磁发音描记波研究系统采集。受试者口腔内不同位置共放置6个传感器，鼻梁处加装1个参考传感器。为同步录制语音信号，受试者还需佩戴头戴式近距通话麦克风。</p><br><p>受试者需完成四类录制任务：其一为朗读完整句子或短篇文本，其余三类分别朗读针对特定常见辅音、元音或声调的关联词汇。</p><br><p>音频数据采用单声道、16kHz采样率、16位精度的FLAC压缩波形文件格式存储；发音描记数据以UTF-8编码的纯文本文件存储。</p><br><h3>示例数据</h3><br><p>请查看以下示例：</p><br><ul><br><li><a href="desc/addenda/LDC2019S14.yue.flac">粤语语音</a></li><br><li><a href="desc/addenda/LDC2019S14.yue.tsv">粤语传感器数据</a></li><br><li><a href="desc/addenda/LDC2019S14.yue.wco">粤语参数数据</a></li><br><li><a href="desc/addenda/LDC2019S14.cmn.flac">普通话语音</a></li><br><li><a href="desc/addenda/LDC2019S14.cmn.tsv">普通话传感器数据</a></li><br><li><a href="desc/addenda/LDC2019S14.cmn.wco">普通话参数数据</a></li><br></ul><br><h3>更新记录</h3><br><p>暂无更新记录。</p><br>本数据集部分内容 © 2019 昆山杜克大学，© 2019 暨南大学，© 2019 宾夕法尼亚大学托管会
