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<!DOCTYPE HTML>
<!--
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<html>
<head>
<title>MagCIL</title>
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<a href="index.html" class="logo">
<span class="symbol"><img src="images/logo.png" alt="" /></span><span class="title">Multimedia <br>
Analysis <br>Group<br>II&T DEMOKRITOS</span>
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<li><a href="index.html">Home</a></li>
<li><a href="about.html">About Us</a></li>
<li><a href="deep_audio_api.html">Deep Audio API</a></li>
<li><a href="solutions.html">Multimodal ML Solutions</a></li>
<li><a href="projects.html">Projects</a></li>
<li><a href="code.html">Open-source code and data</a></li>
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<li><a href="pub.html">Selected publications</a></li>
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<h1>Open source code and data</h1>
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<section>
<p>Below you can find some open source tools and libraries in the domain of multimodal signal
processing and machine learning, that have been (co)developed by members of our group.
<h4>Audio / Speech and Language</h4>
<div class="table-wrapper">
<table>
<tbody>
<tr>
<td><a href="https://github.com/tyiannak/pyAudioAnalysis"
target="_blank">pyAudioAnalysis</a></td>
<td>A Python library covering a wide range of audio analysis tasks such as: feature
extraction, classification, segmentation and clsutering of audio signals</td>
<td>
<a href="https://github.com/tyiannak/pyAudioAnalysis"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/tyiannak/deep_audio_features"
target="_blank">deep-audio-features</a></td>
<td>A Python library for training Convolutional Neural Netowrks as audio
classifiers. The library provides wrappers to pytorch for training CNNs on audio
classification tasks, and using the CNNs as feature extractors.</td>
<td>
<a href="https://github.com/tyiannak/deep_audio_features"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/tyiannak/amvoc" target="_blank">amvoc</a></td>
<td>A Python Tool for Analysis of Mouse Vocal Communication. Developed for (and with
the help of) <a href="https://jarvislab.net" target="_blank"> Erich Jarvis Lab
of the Rockefeller University, NY </a></td>
<td>
<a href="https://github.com/tyiannak/amvoc"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/tyiannak/paura" target="_blank">paura</a></td>
<td>A Python AUdio Recording and Analysis Tool, that lets you record sounds from
your microphone in Python and perform some basic audio analysis in realtime</td>
<td>
<a href="https://github.com/tyiannak/paura"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/tyiannak/readys" target="_blank">readys</a></td>
<td>A Speech Analytics Python Tool for Speech Quality Assessment</td>
<td>
<a href="https://github.com/tyiannak/readys"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/magcil/deep-audio-fingerprinting-benchmark"
target="_blank">Deep-audio-fingerprinting-benchmark</a></td>
<td>An evaluation benchmark for song identification systems. Code involving deep
neural architectures, training pipelines, and database indexing techniques for
developing efficient music recognition systems.</td>
<td>
<a href="https://github.com/magcil/deep-audio-fingerprinting-benchmark"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
</tbody>
</table>
</div>
<h4>Video / Image analysis</h4>
<div class="table-wrapper">
<table>
<tbody>
<tr>
<td><a href="https://github.com/tyiannak/multimodal_movie_analysis"
target="_blank">multimodal movie analysis</a></td>
<td>A set of scripts to extract features from a movie using audio and visual
analysis</td>
<td>
<a href="https://github.com/tyiannak/multimodal_movie_analysis"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/theopsall/video_annotator"
target="_blank">video_annotator</a></td>
<td>A simple video annotator built in task. It can be used for annotating video
summarization metadata. </td>
<td>
<a href="https://github.com/theopsall/video_annotator"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
</tbody>
</table>
</div>
<h4>General Machine Learning</h4>
<div class="table-wrapper">
<table>
<tbody>
<tr>
<td><a href="https://github.com/theopsall/multiSmote" target="_blank">Multilabel
SMOTE</a></td>
<td>A Python lib for a multi-label SMOTE dataset upsampling. The implemented
approach resamples from the representative data that belongs only at the
minority class.</td>
<td>
<a href="https://github.com/theopsall/multiSmote"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/magcil/audio-adversarial-attacks"
target="_blank">Audio-adversarial-attacks</a></td>
<td>A repository exploring the vulnerabilities of transformer based architectures
for sound event classification against adversarial attacks.</td>
<td>
<a href="https://github.com/magcil/audio-adversarial-attacks"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/magcil/audio-few-shot-learning"
target="_blank">Audio-few-shot-learning</a></td>
<td>A repository evaluating few-shot architectures on audio benchmark datasets.</td>
<td>
<a href="https://github.com/magcil/audio-few-shot-learning"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
</tbody>
</table>
</div>
<h4>Datasets</h4>
<div class="table-wrapper">
<table>
<tbody>
<tr>
<td><a href="https://github.com/sofiaele/PuSQ" target="_blank">GreThE</a></td>
<td>A Dataset for Speech Emotion Recognition in Greek Theatrical Plays</td>
<td>
<a href="https://github.com/magcil/GreThE"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/sofiaele/PuSQ" target="_blank">PuSQ</a></td>
<td>A Public Speaking Quality dataset for assessing the speaker's skills</td>
<td>
<a href="https://github.com/sofiaele/PuSQ"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
<tr>
<td><a href="https://github.com/theopsall/archeo" target="_blank">archeo</a></td>
<td>A Python code and a dataset for sound event detection in areas of touristic
Interest</td>
<td>
<a href="https://github.com/theopsall/archeo"
class="icon brands style2 fa-github"><span class="label">GitHub</span></a>
</td>
</tr>
</tbody>
</table>
</div>
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