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<title>A Database of Non-Native English Accents to Assist Neural Speech Recognition | AccentDB</title>
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<h1 class="article-title" itemprop="name">
A Database of Non-Native English Accents to Assist Neural Speech Recognition
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<p><a class="conf" name="paper" href="http://www.lrec-conf.org/proceedings/lrec2020/index.html" target="_blank" rel="noopener"> Proceedings of The 12th Language Resources and Evaluation Conference (LREC 2020). </a><br><a class="button" href="https://www.aclweb.org/anthology/2020.lrec-1.659/" target="_blank" rel="noopener"> Abstract <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z"></path></svg> </a> <a class="button" href="https://www.aclweb.org/anthology/2020.lrec-1.659.pdf" target="_blank" rel="noopener"> Read Paper <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="file-pdf" class="svg-inline--fa fa-file-pdf fa-w-12" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 384 512"><path fill="currentColor" d="M181.9 256.1c-5-16-4.9-46.9-2-46.9 8.4 0 7.6 36.9 2 46.9zm-1.7 47.2c-7.7 20.2-17.3 43.3-28.4 62.7 18.3-7 39-17.2 62.9-21.9-12.7-9.6-24.9-23.4-34.5-40.8zM86.1 428.1c0 .8 13.2-5.4 34.9-40.2-6.7 6.3-29.1 24.5-34.9 40.2zM248 160h136v328c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V24C0 10.7 10.7 0 24 0h200v136c0 13.2 10.8 24 24 24zm-8 171.8c-20-12.2-33.3-29-42.7-53.8 4.5-18.5 11.6-46.6 6.2-64.2-4.7-29.4-42.4-26.5-47.8-6.8-5 18.3-.4 44.1 8.1 77-11.6 27.6-28.7 64.6-40.8 85.8-.1 0-.1.1-.2.1-27.1 13.9-73.6 44.5-54.5 68 5.6 6.9 16 10 21.5 10 17.9 0 35.7-18 61.1-61.8 25.8-8.5 54.1-19.1 79-23.2 21.7 11.8 47.1 19.5 64 19.5 29.2 0 31.2-32 19.7-43.4-13.9-13.6-54.3-9.7-73.6-7.2zM377 105L279 7c-4.5-4.5-10.6-7-17-7h-6v128h128v-6.1c0-6.3-2.5-12.4-7-16.9zm-74.1 255.3c4.1-2.7-2.5-11.9-42.8-9 37.1 15.8 42.8 9 42.8 9z"></path></svg> </a> <a class="button" href="#dataset"> Dataset <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="database" class="svg-inline--fa fa-database fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M448 73.143v45.714C448 159.143 347.667 192 224 192S0 159.143 0 118.857V73.143C0 32.857 100.333 0 224 0s224 32.857 224 73.143zM448 176v102.857C448 319.143 347.667 352 224 352S0 319.143 0 278.857V176c48.125 33.143 136.208 48.572 224 48.572S399.874 209.143 448 176zm0 160v102.857C448 479.143 347.667 512 224 512S0 479.143 0 438.857V336c48.125 33.143 136.208 48.572 224 48.572S399.874 369.143 448 336z"></path></svg> </a> <a class="button" href="https://github.com/AccentDB/code" target="_blank" rel="noopener"> Code <svg aria-hidden="true" focusable="false" data-prefix="fab" data-icon="github" class="svg-inline--fa fa-github fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512"><path fill="currentColor" d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg> </a></p>
<h2 id="Embedding-Projections"><a href="#Embedding-Projections" class="headerlink" title="Embedding Projections"></a>Embedding Projections</h2><p>The visualization of MFCC vectors of speech samples from the dataset provides certain insights into the distribution of AccentDB. We share multiple embedding visualizations of our dataset - with 4 accents and 9 accents. We include 150 files from each class in the TensorFlow Embedding Projector tool below (please choose <code>Color by -> Label</code> in the left menu to differentiate between the classes). You can also perform PCA, UMAP and t-sne decomposition. Read more in section <strong>2.6</strong> or <a href="https://github.com/AccentDB/code#embedding-visualization" target="_blank" rel="noopener" name="dataset">download processed vectors and metadata <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z"></path></svg></a><br><a class="button-large" href="https://projector.tensorflow.org/?config=https://raw.githubusercontent.com/AccentDB/embedding-150/master/template_projector_config.json" target="_blank" rel="noopener"> Explore Embeddings <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z"></path></svg></a></p>
<h2 id="Dataset"><a href="#Dataset" class="headerlink" title="Dataset"></a>Dataset</h2><p>The current release <strong>v1.0</strong> of AccentDB has three datasets licensed under a <a href="./LICENSE">CC BY-NC 4.0 License</a>.</p>
<h3 id="release-v1-0"><a href="#release-v1-0" class="headerlink" title="release v1.0"></a>release v1.0</h3><table>
<thead>
<tr>
<th align="center"><center> <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="download" class="svg-inline--fa fa-download fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M216 0h80c13.3 0 24 10.7 24 24v168h87.7c17.8 0 26.7 21.5 14.1 34.1L269.7 378.3c-7.5 7.5-19.8 7.5-27.3 0L90.1 226.1c-12.6-12.6-3.7-34.1 14.1-34.1H192V24c0-13.3 10.7-24 24-24zm296 376v112c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V376c0-13.3 10.7-24 24-24h146.7l49 49c20.1 20.1 52.5 20.1 72.6 0l49-49H488c13.3 0 24 10.7 24 24zm-124 88c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20zm64 0c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20z"></path></svg> </center></th>
<th align="left">Title</th>
<th align="left">Description</th>
<th align="right">Notes</th>
</tr>
</thead>
<tbody><tr>
<td align="center"><a class="button-download" href="https://drive.google.com/file/d/1a5cN4GwzsngrpYP230hzM58I8BhtB8et/view" target="_blank" rel="noopener"> <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="download" class="svg-inline--fa fa-download fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M216 0h80c13.3 0 24 10.7 24 24v168h87.7c17.8 0 26.7 21.5 14.1 34.1L269.7 378.3c-7.5 7.5-19.8 7.5-27.3 0L90.1 226.1c-12.6-12.6-3.7-34.1 14.1-34.1H192V24c0-13.3 10.7-24 24-24zm296 376v112c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V376c0-13.3 10.7-24 24-24h146.7l49 49c20.1 20.1 52.5 20.1 72.6 0l49-49H488c13.3 0 24 10.7 24 24zm-124 88c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20zm64 0c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20z"></path></svg> <strong>2.8GB</strong> </a></td>
<td align="left"><strong>accentdb_core</strong></td>
<td align="left">4 non-native Indian English accents collected by authors.</td>
<td align="right">6,587 files</td>
</tr>
<tr>
<td align="center"><a class="button-download" href="https://drive.google.com/file/d/1NO1NKQSpyq3DMLEwiqA-BHIqXli8vtIL/view" target="_blank" rel="noopener"> <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="download" class="svg-inline--fa fa-download fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M216 0h80c13.3 0 24 10.7 24 24v168h87.7c17.8 0 26.7 21.5 14.1 34.1L269.7 378.3c-7.5 7.5-19.8 7.5-27.3 0L90.1 226.1c-12.6-12.6-3.7-34.1 14.1-34.1H192V24c0-13.3 10.7-24 24-24zm296 376v112c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V376c0-13.3 10.7-24 24-24h146.7l49 49c20.1 20.1 52.5 20.1 72.6 0l49-49H488c13.3 0 24 10.7 24 24zm-124 88c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20zm64 0c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20z"></path></svg> <strong>3.9GB</strong> </a></td>
<td align="left"><strong>accentdb_extended</strong></td>
<td align="left">Samples for 5 English Accents + 4 accents from accentdb_core.</td>
<td align="right">19,111 files</td>
</tr>
<tr>
<td align="center"><a class="button-download" href="https://alumnibitspilaniacin-my.sharepoint.com/:u:/g/personal/f20150119h_alumni_bits-pilani_ac_in/EamOVDcBllZLhipYRMl03QsBByLVfFSP54pPEgreaesUtQ?e=AzsY7f" target="_blank" rel="noopener"> <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="download" class="svg-inline--fa fa-download fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M216 0h80c13.3 0 24 10.7 24 24v168h87.7c17.8 0 26.7 21.5 14.1 34.1L269.7 378.3c-7.5 7.5-19.8 7.5-27.3 0L90.1 226.1c-12.6-12.6-3.7-34.1 14.1-34.1H192V24c0-13.3 10.7-24 24-24zm296 376v112c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V376c0-13.3 10.7-24 24-24h146.7l49 49c20.1 20.1 52.5 20.1 72.6 0l49-49H488c13.3 0 24 10.7 24 24zm-124 88c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20zm64 0c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20z"></path></svg> <strong>1.3GB</strong> </a></td>
<td align="left"><strong>accentdb_raw</strong></td>
<td align="left">Raw and unprocessed recordings for the core dataset.</td>
<td align="right">11 files</td>
</tr>
</tbody></table>
<p>To play with a smaller AccentDB dataset, we share a classification model described in section <strong>3.1.2</strong>. You can experiment with the model and the dataset in a Colab notebook in your browser.<br><a class="button-large" href="https://colab.research.google.com/drive/1J_pTtmY98vtWHWoIs9WhRuWK0b0uBuxU" target="_blank" rel="noopener"> Open in Google Colab <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-right" class="svg-inline--fa fa-arrow-right fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z"></path></svg></a></p>
<h2 id="Citation"><a href="#Citation" class="headerlink" title="Citation"></a>Citation</h2><p>If you have found our dataset or models to be useful, please cite us as below. <a class="button-bib" target="_blank" href="http://www.lrec-conf.org/proceedings/lrec2020/bib/2020.lrec-1.659.bib"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="arrow-down" class="svg-inline--fa fa-arrow-down fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M413.1 222.5l22.2 22.2c9.4 9.4 9.4 24.6 0 33.9L241 473c-9.4 9.4-24.6 9.4-33.9 0L12.7 278.6c-9.4-9.4-9.4-24.6 0-33.9l22.2-22.2c9.5-9.5 25-9.3 34.3.4L184 343.4V56c0-13.3 10.7-24 24-24h32c13.3 0 24 10.7 24 24v287.4l114.8-120.5c9.3-9.8 24.8-10 34.3-.4z"></path></svg> Download Bib</a></p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span></pre></td><td class="code"><pre><span class="line">@InProceedings{ahamad-anand-bhargava:2020:LREC,</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">2</span></pre></td><td class="code"><pre><span class="line"> author = {Ahamad, Afroz and Anand, Ankit and Bhargava, Pranesh},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">3</span></pre></td><td class="code"><pre><span class="line"> title = {AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">4</span></pre></td><td class="code"><pre><span class="line"> booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">5</span></pre></td><td class="code"><pre><span class="line"> month = {May},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">6</span></pre></td><td class="code"><pre><span class="line"> year = {2020},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">7</span></pre></td><td class="code"><pre><span class="line"> address = {Marseille, France},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">8</span></pre></td><td class="code"><pre><span class="line"> publisher = {European Language Resources Association},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">9</span></pre></td><td class="code"><pre><span class="line"> pages = {5353--5360},</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">10</span></pre></td><td class="code"><pre><span class="line"> url = {https://www.aclweb.org/anthology/2020.lrec-1.659}</span></pre></td></tr><tr><td class="gutter"><pre><span class="line">11</span></pre></td><td class="code"><pre><span class="line">}</span></pre></td></tr></table></figure>
<h2 id="People"><a href="#People" class="headerlink" title="People"></a>People</h2><ul>
<li> <a href="https://afrozsahamad.com/" target="_blank" rel="noopener">Afroz Ahamad</a></li>
<li> <a href="https://www.linkedin.com/in/ankit-a-5b31b5114/" target="_blank" rel="noopener">Ankit Anand</a></li>
<li> <a href="https://universe.bits-pilani.ac.in/hyderabad/praneshbhargava/Profile" target="_blank" rel="noopener">Dr. Pranesh Bhargava</a>, Principal Investigator</li>
</ul>
<p><a class="button-contact" href="mailto:accentdb.research@gmail.com" target="_blank" rel="noopener"> <svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="envelope" class="svg-inline--fa fa-envelope fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"></path></svg> Contact us at accentdb.research@gmail.com </a></p>
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