Subject: Re: IDyOM v1.1 From: Sharath chandra <looplogic@xxxxxxxx> Date: Mon, 6 Oct 2014 15:20:44 +0530 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--001a1136a980372beb0504be0488 Content-Type: text/plain; charset=UTF-8 Hi Marcus This is amazing! It takes me back to some tangential work done by Max Mathews with the radio baton, that later went on to the Marimba Lumina (Infact had the pleasure of seeing Lucas Ligeti play last year in India) Which DSP stack did you use to start off with? And the ML Library? Would be nice if you could upload the source code, or even just the modified GNU Libraries! Looking forwards Regards Sharath On Mon, Oct 6, 2014 at 4:19 AM, Marcus Pearce <marcus.pearce@xxxxxxxx> wrote: > Dear All (with apologies for cross-posting), > > I'm pleased to announce v1.1 of IDyOM (Information Dynamics of Music) - a > framework for constructing multiple-viewpoint, variable-order Markov models > for predictive statistical modelling of musical structure. The system > generates a conditional probability distribution representing the estimated > likelihood of each note in a melody, given the preceding musical context; > it computes Shannon entropy as a measure of uncertainty about the next note > and information content as a measure of the unexpectedness of the note that > actually follows. > > Updates in this release include greater control of caching behaviour, > easier installation, improved internal representations of music objects and > fixes to Lilypond export. > > The software and documentation are available at: > > https://code.soundsoftware.ac.uk/projects/idyom-project > Marcus > > -- > Lecturer in Sound and Music Processing > Queen Mary, University of London > Mile End Road, London E1 4NS, UK > Tel: +44 (0)20 7882 6207 > Web: http://webprojects.eecs.qmul.ac.uk/marcusp > Lab: http://music-cognition.eecs.qmul.ac.uk/ > --001a1136a980372beb0504be0488 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Hi Marcus=C2=A0<div><br></div><div>This is amazing! It tak= es me back to some tangential work done by Max Mathews with the radio baton= , that later went on to the Marimba Lumina (Infact had the pleasure of seei= ng Lucas Ligeti play last year in India)</div><div><br></div><div>Which DSP= stack did you use to start off with? And the ML Library?</div><div>Would b= e nice if you could upload the source code, or even just the modified GNU L= ibraries!</div><div><br></div><div>Looking forwards</div><div>Regards</div>= <div>Sharath</div></div><div class=3D"gmail_extra"><br><div class=3D"gmail_= quote">On Mon, Oct 6, 2014 at 4:19 AM, Marcus Pearce <span dir=3D"ltr"><= <a href=3D"mailto:marcus.pearce@xxxxxxxx" target=3D"_blank">marcus.pearce= @xxxxxxxx</a>></span> wrote:<br><blockquote class=3D"gmail_quote" styl= e=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear Al= l (with apologies for cross-posting),<br> <br> I'm pleased to announce v1.1 of IDyOM (Information Dynamics of Music) -= a framework for constructing multiple-viewpoint, variable-order Markov mod= els for predictive statistical modelling of musical structure. The system g= enerates a conditional probability distribution representing the estimated = likelihood of each note in a melody, given the preceding musical context; i= t computes Shannon entropy as a measure of uncertainty about the next note = and information content as a measure of the unexpectedness of the note that= actually follows.<br> <br> Updates in this release include greater control of caching behaviour, easie= r installation, improved internal representations of music objects and fixe= s to Lilypond export.<br> <br> The software and documentation are available at:<br> <br> <a href=3D"https://code.soundsoftware.ac.uk/projects/idyom-project" target= =3D"_blank">https://code.soundsoftware.ac.<u></u>uk/projects/idyom-project<= /a><span class=3D"HOEnZb"><font color=3D"#888888"><br> Marcus<br> <br> -- <br> Lecturer in Sound and Music Processing<br> Queen Mary, University of London<br> Mile End Road, London E1 4NS, UK<br> Tel: <a href=3D"tel:%2B44%20%280%2920%207882%206207" value=3D"+442078826207= " target=3D"_blank">+44 (0)20 7882 6207</a><br> Web: <a href=3D"http://webprojects.eecs.qmul.ac.uk/marcusp" target=3D"_blan= k">http://webprojects.eecs.qmul.<u></u>ac.uk/marcusp</a><br> Lab: <a href=3D"http://music-cognition.eecs.qmul.ac.uk/" target=3D"_blank">= http://music-cognition.eecs.<u></u>qmul.ac.uk/</a><br> </font></span></blockquote></div><br></div> --001a1136a980372beb0504be0488--