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@@ -86,6 +86,31 @@ <h3>Speech Processing</h3>
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<a class="active" href="#">Speech Processing</a>
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</div>
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<ul class="blog_meta list">
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<li><a href="about.html">Ravanelli M.<i class="lnr lnr-user"></i></a></li>
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<li><a href="#">Apr. 2021<i class="lnr lnr-calendar-full"></i></a></li>
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<li><a href="#">Difficulty: medium<i class="lnr lnr-cog"></i></a></li>
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<li><a href="#">Time: 45min<i class="lnr lnr-hourglass"></i></a></li>
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<h2>Speech Recognition From Scratch</h2>
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<p>Do you want to figure out how to implement your speech recognizer with SpeechBrain? Look no further, you're in the right place. This tutorial will walk you
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through all the steps needed to implement an offline end-to-end attention-based speech recognizer. This is a self-contained tutorial that will help you "connecting the dots" across all the steps needed to train a modern speech recognizer. We will address data preparation, tokenizer training, language model, ASR model, and inference. We will explain how to train your model on your data.</p>
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<a href="https://colab.research.google.com/drive/1aFgzrUv3udM_gNJNUoLaHIm78QHtxdIz?usp=sharing" class="blog_btn">Open in Google Colab</a>
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</article>
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