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<title>DiVA (Distilled Voice Assistant)</title> | ||
<meta name="description" content="Distilling an End-to-End Voice Assistant from Speech Recognition Data Using Pretrained Models."> | ||
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<div class="container"> | ||
<!-- Abstract. --> | ||
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<div class="column is-six-fifths"> | ||
<h2 class="title is-3"><b style="color:#820000">Di</b>stilled <b style="color:#820000">V</b>oice <b style="color:#820000">A</b>ssistant Chat Demo</h2> | ||
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</section> | ||
<section class="section" id="BibTeX"> | ||
<div class="container is-max-desktop content"> | ||
<h2 class="title">BibTeX</h2> | ||
<pre><code> | ||
@misc{held2024diva, | ||
author="Held, Will and Li, Ella and Ryan, Michael and Shi, Weiyan and Zhang, Yanzhe and Yang, Diyi", | ||
title="Distilling an End-to-End Voice Assistant from Speech Recognition Data", | ||
year="2024", | ||
publisher="HuggingFace", | ||
} | ||
</code></pre> | ||
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<span>Evaluation Notebook</span> | ||
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<a href="https://github.com/Helw150/levanter/blob/will/distill/src/levanter/models/via.py" | ||
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<span>Training Code</span> | ||
</a> | ||
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</section> | ||
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