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<title>MLSP Prizes for Reproducibility: Winners announced! | Sound Software .ac.uk</title>
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<h1 class="title">MLSP Prizes for Reproducibility: Winners announced!</h1>
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<p>With thanks to the IEEE Signal Processing Society and to all of the entrants, we are now able to announce the winners of the MLSP 2014 and SoundSoftware.ac.uk <a href="rr-prize-mlsp-2014.html">Prizes for Reproducibility in Signal Processing</a>.</p>
<p>As with our earlier prize series in conjuction with the <a href="rr-prize-semantic-audio.html">Audio Engineering Society's 53rd Conference</a> and our <a href="rr-prize-apr2013.html">SoundSoftware.ac.uk Prizes for Reproducibility in Audio and Music Research</a>, you can refer to <a href="rr-prize-how.html">our page about evaluation</a> for more details about how we came to a decision.</p>
<p>Note that all of the submissions we received were in the Fully-Reproducible Works category, so we did not award a prize for Reproducibility-Enabling Work.</p>
<p><b>Winner</b></p>
<p>The winner of the MLSP 2014 and SoundSoftware.ac.uk Prize for Reproducibility in Signal Processing is:</p>
<p><b>Simo Särkkä and Robert Piché</b><br />
<i>On Convergence And Accuracy Of State-Space Approximations Of Squared Exponential Covariance Functions</i> (<a href="http://becs.aalto.fi/~ssarkka/pub/ss_se_mlsp.pdf">paper</a>, <a href="https://bitbucket.org/ssarkka/statespacegps">software</a>)</p>
<p>This submission scored highly across all evaluation criteria. The software is clearly presented, with an appropriate licence and a sufficiently informative README and metadata, and hosted on a widely recognised hosting platform. The relationship between the software and paper publication is clear. The code (in MATLAB) is straightforwardly organised and was found to work as described and to replicate the figures presented in the paper.</p>
<p><b>Honourable mention</b></p>
<p>An honourable mention goes to:</p>
<p><b>Aleksandr Aravkin, Karthikeyan Natesan Ramamurthy, and Gianluigi Pillonetto</b><br />
<i>Kalman Smoothing With Persistent Nuisance Parameters</i> (<a href="https://github.com/saravkin/ckbs">software</a>)</p>
<p>This is a very creditable submission. The software is well organised and is presented with an appropriate licence through a widely recognised hosting platform. The code (in MATLAB) was found to work as describe, although some paths needed to be adjusted for the testing environment, and to replicate the figures presented in the paper. We would suggest that the README file could be expanded and the relationship between code and paper publication(s) made more explicit, but this is an impressive work nonetheless.</p>
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<div class="views-field views-field-title"> <span class="field-content"><a href="rr-prize-mlsp-2014-winners.html" class="active">MLSP Prizes for Reproducibility: Winners announced!</a></span> </div>
<div class="views-field views-field-teaser"> <div class="field-content"><p>Announcing the winners of the MLSP 2014 and SoundSoftware.ac.uk Prizes for Reproducibility in Signal Processing, organised by SoundSoftware.ac.uk in conjuction with the IEEE Signal Processing Society for the 2014 IEEE International Workshop on Machine Learning for Signal Processing.</p>
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<div class="views-field views-field-teaser"> <div class="field-content"><p>The SoundSoftware 2014 workshop, our third annual workshop on software and data in audio and music research, was just as enjoyable as the previous two. Because so much research in this field ends up being expressed through software, a software workshop turns out to be all about the means by which research becomes useful and relevant to people other than the original researchers—fertile ground for interesting and thought-provoking talks.</p>
<p>The workshop videos are now available online at <a href="soundsoftware2014.html" title="http://soundsoftware.ac.uk/soundsoftware2014">http://soundsoftware.ac.uk/soundsoftware2014</a>, so if you weren't able to make it in person, catch up here!</p>
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<div class="views-field views-field-teaser"> <div class="field-content"><p>Our third annual one-day workshop on Software and Data for Audio and Music Research takes place on the 8th of July 2014 at Queen Mary, University of London. The workshop includes talks on issues such as robust software development for audio and music research, reproducible research in general, management of research data, and open access. <a href="soundsoftware2014.html">Read more here</a>, clear your calendar, and register now!</p>
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