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Diff for: about.html

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@@ -89,24 +89,24 @@ <h2>Referencing SpeechBrain</h2>
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<div class="justified large">
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<pre>
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<code class="text">
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@inproceedings{ravanelli2019pytorch,
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title={The pytorch-kaldi speech recognition toolkit},
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author={Ravanelli, Mirco and Parcollet, Titouan and Bengio, Yoshua},
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booktitle={ICASSP 2019-2019},
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pages={6465--6469},
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year={2019},
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organization={IEEE}
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}
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@misc{SB2021,
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author = {Ravanelli, Mirco and Parcollet, Titouan and Rouhe, Aku and Plantinga, Peter and Rastorgueva, Elena and Lugosh, Loren and Dawalatabad, Nauman and Ju-Chieh, Chou and Heba, Abdel and Grondin, Francois and Aris, William and Liao, Chien-Feng and Cornell, Samuele and Yeh, Sung-Lin and Na, Hwidong and Gao, Yan and Fu, Szu-Wei and Subakan, Cem and De Mori, Renato and Bengio, Yoshua },
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title = {SpeechBrain},
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year = {2021},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/speechbrain/speechbrain}},
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}
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</code>
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</pre>
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</div>
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</div>
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<div class="main_title">
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<h2>Legal Aspects</h2>
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<h2>Licence</h2>
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<p class="justified large">SpeechBrain is released under the Apache license, version 2.0. The Apache license is a popular <em>BSD-like</em> license. SpeechBrain can be redistributed for free, even for commercial purposes, although you can not take off the license headers (and under some circumstances you may have to distribute a license document). Apache is not a <em>viral</em> license like the GPL, which forces you to release your modifications to the source code. Also note that this project has no connection to the Apache Foundation, other than that we use the same license terms.</p><br/>
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<p class="justified large">From a legal and copyright point of view, SpeechBrain has been created and is driven by Dr. Ravanelli Mirco and Dr. Parcollet Titouan. It is a community project, which means that discussions are engaged community-wide while decisions are taken by Dr. Ravanelli and Dr. Parcollet with respect to the community views. There is no legal institution associated as an <em> owner </em> of SpeechBrain.
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Furthermore, and due to the Apache Licence, anyone that would disagree with the way the project is being run can fork it and start a new toolkit.</p>
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<p class="justified large">From a legal and copyright point of view, SpeechBrain has been created by Dr. Ravanelli Mirco and Dr. Parcollet Titouan. There is no legal institution associated as an <em> owner </em> of SpeechBrain.
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Furthermore, and due to the Apache Licence, anyone that would disagree with the way the project is being run can fork it and start a new toolkit as long as its name isn't SpeechBrain.</p>
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</div>
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<div class="main_title">
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<h2>Sponsors</h2>
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</div>
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</div>
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<div class="main_title">
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<h2>Pre-public release contributors</h2>
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<h2>Initial contributors</h2>
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<p class="justified large"> In this section we thanks all the peoples that contributed to the very first version of SpeechBrain. It took us a year of development to finally
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propose this toolkit.</p>
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</div>

Diff for: index.html

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@@ -120,10 +120,19 @@ <h2>Key Features & Capabilities</h2>
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<a href="#"><h4>Speech Processing</h4></a>
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<p>Good signal processing methods are often required to approach challenging tasks.
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SpeechBrain provides an handy framework to combine such methods with deep learning to quickly measure their performance. Various complex methods
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are already implemented including delay-and-sum, MVDR and GeV beamforming, SpecAugment and TimeAugment.
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are already implemented including SpecAugment and TimeAugment, acoustic features extraction and normalization.
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</p>
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</div>
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</div>
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<div class="col-lg-4">
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<div class="work_item">
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<i class="lnr lnr-mic"></i>
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<a href="#"><h4>Multi Microphone Audio Processing</h4></a>
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<p>The ability to combine multiple signals to solve a task is crucial in realistic and adversarial acoustic environments.
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SpeechBrain provides various multi microphones techniques such as delay-and-sum, MVDR and GeV beamforming.
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</p>
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</div>
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</div>
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<div class="col-lg-4">
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<div class="work_item">
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<i class="lnr lnr-smile"></i>
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Programming will never be the bottleneck anymore!</p>
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</div>
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</div>
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<div class="col-lg-4">
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<div class="work_item">
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<i class="lnr lnr-mic"></i>
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<a href="#"><h4>DNN-HMM ASR</h4></a>
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<p>Speech Recognition with Hidden Markov Models remain an extremely good solution for many ASR scenario.
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While SpeechBrain proposes basic tools such as n-gram language models or DNN training, the complete integration of a DNN-HMM pipeline
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is on our short-term to do list.</p>
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</div>
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</div>
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</div>
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</div>
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</section>
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<div class="f_title">
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<h3>About Us</h3>
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</div>
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<p style="text-align:justify">SpeechBrain isn't a company nor an association. It is an open source toolkit and a community directed by Dr. Ravanelli Mirco and co-directed by Dr. Parcollet Titouan. We aim at building a bridge between deep learning and speech technologies. </p>
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<p style="text-align:justify">SpeechBrain isn't a company nor an association. It is an open source toolkit and a community created by Dr. Ravanelli Mirco and co-created by Dr. Parcollet Titouan. We aim at building a bridge between deep learning and speech technologies. </p>
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<p><!-- Link back to Colorlib can't be removed. Template is licensed under CC BY 3.0. -->
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Copyright &copy;<script>document.write(new Date().getFullYear());</script> All rights reserved</p>
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</aside>
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</div>
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<div class="col-lg-5 col-sm-6">
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<aside class="f_widget news_widget">
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<div class="f_title">
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<h3>Get Involved</h3>
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<h3>Opportunities</h3>
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</div>
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<p>Thanks to our sponsors, we often recruit talented candidates to advance the state-of-the-art within SpeechBrain.
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Feel free to contact us at: [email protected]</p>
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</div>
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<p>Let us be social</p>
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<ul class="list">
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<li><a href="#"><i class="fa fa-facebook"></i></a></li>
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<li><a href="#"><i class="fa fa-twitter"></i></a></li>
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<li><a href="https://twitter.com/SpeechBrain1"><i class="fa fa-twitter"></i></a></li>
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</ul>
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</aside>
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</div>

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