<div dir="ltr"><div><div>Thanks Gilberto!<br><br></div>sounds great. Will take a look,... here at Goldsmiths we are developing time-series analysis and statistical methods for Pd (and other software), that's the reason of my interest.<br>
<br></div>best wishes,<br>M<br></div><div class="gmail_extra"><br clear="all"><div><div dir="ltr">--<br>Marco Donnarumma<br>New Media + Sonic Arts Practitioner, Performer, Teacher, Director.<br>Embodied Audio-Visual Interaction Research Team.<br>
Department of Computing, Goldsmiths University of London<br>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>Portfolio: <a href="http://marcodonnarumma.com" target="_blank">http://marcodonnarumma.com</a><br>Research: <a href="http://res.marcodonnarumma.com" target="_blank">http://res.marcodonnarumma.com</a><br>
Director: <a href="http://www.liveperformersmeeting.net" target="_blank">http://www.liveperformersmeeting.net</a><br></div></div>
<br><br><div class="gmail_quote">On Wed, Nov 6, 2013 at 12:36 PM, Gilberto Bernardes <span dir="ltr"><<a href="mailto:bernardes7@gmail.com" target="_blank">bernardes7@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Dear Marco<div><br></div><div>thanks for your feedback. The dimensionality reduction algorithms are not externals...simply abstraction, so, I guess you will not find any trouble running it on Linux. If you run it on pd-extended, I'm pretty sure you will not need other any external libraries, with the exception of gridflow for the computation of eigenvectors in PCA.</div>
<div><br></div><div>Look into earGramv0.18>dependencies>abs you will find all abstractions here, or just open the file _absOverview.</div><div><br></div><div>There's a couple of solutions for dimensionality reduction more or less complex such as:</div>
<div>self-organised maps (SOM)</div><div>PCA</div><div>haar</div><div>dct</div><div>random projection</div><div>star centroid</div><div>and star coordinates (the only applied in earGram, actually)</div><div><br></div><div>
best,</div><div>Gilberto<div><div class="h5"><br><div class="gmail_extra"><br><div class="gmail_quote">2013/11/6 Marco Donnarumma <span dir="ltr"><<a href="mailto:lists@marcodonnarumma.com" target="_blank">lists@marcodonnarumma.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div>Hi Gilberto,<br><br>thanks for sharing your work!<br><br></div>I'm interested in looking at your dimensionality reduction objects, but I'm a Linux user. Any plan to port your work to Linux?<br>
<br></div>thanks!<br></div>best wishes,<br>M<br><div class="gmail_extra"><br clear="all"><div><div dir="ltr">--<br>Marco Donnarumma<br>New Media + Sonic Arts Practitioner, Performer, Teacher, Director.<br>Embodied Audio-Visual Interaction Research Team.<br>
Department of Computing, Goldsmiths University of London<br>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>Portfolio: <a href="http://marcodonnarumma.com" target="_blank">http://marcodonnarumma.com</a><br>Research: <a href="http://res.marcodonnarumma.com" target="_blank">http://res.marcodonnarumma.com</a><br>
Director: <a href="http://www.liveperformersmeeting.net" target="_blank">http://www.liveperformersmeeting.net</a><br></div></div>
<br><br><div class="gmail_quote">On Sat, Oct 26, 2013 at 1:56 PM, Gilberto Bernardes <span dir="ltr"><<a href="mailto:bernardes7@gmail.com" target="_blank">bernardes7@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr"><pre><font face="arial, helvetica, sans-serif">Hi,
I’m working on a project for my PhD that recombines audio segments according to pre-defined generative methods. For those familiarised with concatenative sound synthesis, earGram reformulates the notion of unit selection algorithms to encompass generative music strategies. It relies heavily on timbreID a known library for PD by William Brent.</font></pre>
<pre><span style="font-family:arial,helvetica,sans-serif"><br></span></pre><pre><span style="font-family:arial,helvetica,sans-serif">So, here's the website that hosts the project:</span><br>
</pre><pre><font face="arial, helvetica, sans-serif"><a href="https://sites.google.com/site/eargram/" target="_blank">https://sites.google.com/site/eargram/</a><br></font></pre><pre><pre><font face="arial, helvetica, sans-serif">You can find project examples in the download section as well. P</font></pre>
<div><font face="arial, helvetica, sans-serif"><br></font></div></pre><pre><font face="arial, helvetica, sans-serif">In addition there are plenty of abstractions that may interest you, in particular clustering and dimensionality reduction algorithms...</font></pre>
<pre></pre><pre><font face="arial, helvetica, sans-serif">As you can guess, I would like to get feedbacks and advises.
Best,
Gilberto Bernardes</font></pre></div>
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