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tutorial_nn.html
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<!doctype html>
<html lang="en">
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<li class="nav-item active"><a class="nav-link" href="index.html">Home</a></li>
<li class="nav-item"><a class="nav-link" href="about.html">About SpeechBrain</a>
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<li class="nav-item"><a class="nav-link" href="tutorial_basics.html">SpeechBrain Basics</a></li>
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<h2>SpeechBrain Tutorials</h2>
<h3>Neural Architectures</h3>
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<!--================End Home Banner Area =================-->
<div class="alert alert-primary" role="alert" style="text-align: center; font-size: 24px;">
🎉 SpeechBrain 1.0 is out. <a href="https://colab.research.google.com/drive/1IEPfKRuvJRSjoxu22GZhb3czfVHsAy0s?usp=sharing"><strong> Check out what's new!</strong></a>
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<a class="active" href="#">Neural Architectures</a>
</div>
<ul class="blog_meta list">
<li><a href="about.html">Parcollet T. & Moumen A.<i class="lnr lnr-user"></i></a></li>
<li><a href="#">Dec. 2022<i class="lnr lnr-calendar-full"></i></a></li>
<li><a href="#">Difficulty: medium<i class="lnr lnr-cog"></i></a></li>
<li><a href="#">Time: 20m<i class="lnr lnr-hourglass"></i></a></li>
</ul>
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<div class="blog_post">
<div class="blog_details">
<h2>Using Wav2Vec 2.0 / HuBERT / WavLM and Whisper from HuggingFace with SpeechBrain</h2>
<p>This tutorial describes how to combine (use and finetune) pretrained models
coming from HuggingFace. Any wav2vec 2.0 / HuBERT / WavLM or Whisper model integrated to the transformers interface of HuggingFace can be then plugged to
SpeechBrain to approach a speech-related task: automatic speech recognition, speaker recognition,
spoken language understanding ...</p>
<a href="https://colab.research.google.com/drive/17Hu1pxqhfMisjkSgmM2CnZxfqDyn2hSY?usp=sharing" class="blog_btn">Open in Google Colab</a>
</div>
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</div>
</article>
<article class="row blog_item">
<div class="col-md-3">
<div class="blog_info text-right">
<div class="post_tag">
<a class="active" href="#">Neural Architectures</a>
</div>
<ul class="blog_meta list">
<li><a href="about.html">Parcollet T.<i class="lnr lnr-user"></i></a></li>
<li><a href="#">Feb. 2021<i class="lnr lnr-calendar-full"></i></a></li>
<li><a href="#">Difficulty: medium<i class="lnr lnr-cog"></i></a></li>
<li><a href="#">Time: 30min<i class="lnr lnr-hourglass"></i></a></li>
</ul>
</div>
</div>
<div class="col-md-9">
<div class="blog_post">
<div class="blog_details">
<h2>Complex and Quaternion Neural networks</h2>
<p>This tutorial demonstrates how to use the SpeechBrain implementation of complex-valued and quaternion-valued neural networks
for speech technologies. It covers the basics of highdimensional representations and the associated neural layers :
Linear, Convolution, Recurrent and Normalisation.</p>
<a href="https://colab.research.google.com/drive/1H6ObNswTd24ZwkXj3vHRxZcfXBKAsS3q?usp=sharing" class="blog_btn">Open in Google Colab</a>
</div>
</div>
</div>
</article>
<article class="row blog_item">
<div class="col-md-3">
<div class="blog_info text-right">
<div class="post_tag">
<a class="active" href="#">Neural Architectures</a>
</div>
<ul class="blog_meta list">
<li><a href="about.html">Ravanelli M.<i class="lnr lnr-user"></i></a></li>
<li><a href="#">Feb. 2021<i class="lnr lnr-calendar-full"></i></a></li>
<li><a href="#">Difficulty: easy<i class="lnr lnr-cog"></i></a></li>
<li><a href="#">Time: 30min<i class="lnr lnr-hourglass"></i></a></li>
</ul>
</div>
</div>
<div class="col-md-9">
<div class="blog_post">
<div class="blog_details">
<h2>Recurrent Neural Networks and SpeechBrain</h2>
<p>Recurrent Neural Networks (RNNs) offer a natural way to process sequences.
This tutorial demonstrates how to use the SpeechBrain implementations of RNNs including LSTMs, GRU, RNN and LiGRU a specific recurrent cell designed
for speech-related tasks. RNNs are at the core of many sequence to sequence models.</p>
<a href="https://colab.research.google.com/drive/1CTCzOP016D1c2SVg2jr9UHIz-xvcHgqP?usp=sharing" class="blog_btn">Open in Google Colab</a>
</div>
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<h3>About Us</h3>
</div>
<p style="text-align:justify">SpeechBrain isn't a company or an association.
It is an open-source toolkit and a community created by Dr. Mirco Ravanelli and co-created by Dr. Titouan Parcollet.
We aim at making speech technologies more accessible for the community. </p>
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<p>Thanks to our sponsors, we often recruit talented candidates to continue expanding the functionalities of SpeechBrain.
Feel free to contact us at: speechbrainproject@gmail.com</p>
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