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<!DOCTYPE html>
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<title>11-755/18-797 MLSP</title>
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<h1 class="post-title"><b>M</b>achine <b>L</b>earning for <b>S</b>ignal <b>P</b>rocessing</h1>
<h2 class="post-description clearfix">11-755/18-797 • Fall 2023 • Carnegie Mellon University</h2>
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<article class="post-content <b>M</b>ultimodal <b>M</b>achine <b>L</b>earning clearfix">
<p>Signal Processing is the science that deals with the extraction of information from signals of various kinds. This has two distinct aspects -- characterization and categorization. Traditionally, signal characterization has been performed with mathematically-driven transforms, while categorization and classification are achieved using statistical tools. Machine Learning aims to design algorithms that learn about the state of the world directly from data. A increasingly popular trend has been to develop and apply machine learning techniques to both aspects of signal processing, often blurring the distinction between the two. This course discusses the use of machine learning techniques to process signals. We cover a variety of topics, from data driven approaches for characterization of signals such as audio including speech, images and video, and machine learning methods for a variety of speech and image processing problems.</p>
<hr />
<ul>
<li><strong>Time:</strong> Tuesday and Thursday 2:00pm-3:20pm</li>
<li><strong>Location:</strong> DH A302</li>
<li><strong>Zoom:</strong> <a href="https://cmu.zoom.us/j/98758168075?pwd=c1lLaTI3SmVDVnoxMFU3djA4YzBvUT09" target="\_blank">meeting link</a>, ID: 987 5816 8075, Pass: 684222 </li>
<li><strong>Discussion and Q&A:</strong> <a href="https://piazza.com/class/lltl7rebh4r4p1" target="\_blank">Piazza</a></li>
<li><strong>Assignment submissions:</strong> <a href="https://canvas.cmu.edu/courses/34748" target="\_blank">Canvas</a> (for registered students only)</li>
<li><strong>Contact:</strong> Students should ask all course-related questions on <a href="https://piazza.com" target="\_blank">Piazza</a>, where you will also find announcements.</li>
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<li><span>Instructor</span> <a href="http://mlsp.cs.cmu.edu/people/bhiksha/" target="_blank">Bhiksha Raj</a></li>
<li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">bhiksha</a></li>
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<a href="http://www.contrib.andrew.cmu.edu/~kuangy/" target="_blank"><img src="assets/img/KuangYuan.jpg" /></a>
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<li><span>TA</span> <a href="http://www.contrib.andrew.cmu.edu/~kuangy/" target="_blank">Kuang Yuan</a></li>
<li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">kuangy</a></li>
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<a href="https://sites.google.com/view/barati/prakarsh" target="_blank"><img src="assets/img/Prakarsh_Yadav.jpg" /></a>
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<li><span>TA</span> <a href="https://sites.google.com/view/barati/prakarsh" target="_blank">Prakarsh Yadav</a></li>
<li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">pyadav</a></li>
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<br />
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<li><span>TA</span> <a href="http://mlsp.cs.cmu.edu/people/bhiksha/" target="_blank">Adnan Yunus</a></li>
<li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">adnany</a></li>
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<li><span>TA</span> <a href="https://soham97.github.io/" target="_blank">Soham Deshmukh</a></li>
<li><span>Email:</span> <a href="mailto:[email protected]" target="_blank">sdeshmuk</a></li>
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<h2>Office hours</h2> <br>
Kuang Yuan: 5:00-6:00 pm EST Monday (In person); 10:30-11:30 am EST Friday (Zoom) <br>
Prakarsh Yadav: 6:00-7:00 pm EST, Tuesday (Zoom/in person); 8:00-9:00 am EST, Thursday (Zoom/in person) <br>
Adnan Yunus: 11:30-12:30 pm EST, Tuesday; 11:30-12:30 pm EST Thursday <br>
Soham Deshmukh: 1:00-2:00 pm EST, Tuesday (Zoom/In person) <br>
</ul>
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<td class="date">Aug 28, 2023</td>
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Welcome to 11-755/18-797, Machine Learning for Signal Processing, Fall 2023!
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