Hi, I'm Matthias. Welcome to my website and blog!

I'm a lecturer and researcher in the field of music informatics. I currently work as a Royal Academy of Engineering Research Fellow with the Centre for Digital Music at Queen Mary, University of London (see my Queen Mary web page).

Past work places include the Internet music platform Last.fm, where I worked as Research Fellow, the Japanese research centre AIST in Tsukuba, and, as a research student, the Centre for Digital Music. Find more info on my biography page.

My main research interest (and the subject of my PhD thesis) has been the automatic transcription of chords from audio, but I've also done work on segmentation, harpsichord tuning estimation and, recently, lyrics-to-audio alignment. Please do have a look at my publications website to learn more about my work, ask Google Scholar directly, or visit my Software site if you're more interested in just using it.

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[11 Apr 2014 | No Comment | 85 views]
I had this code lying around for a long time, and nothing happened to it, so I thought I might just as well give it away so that people can try it out. It is based on my thesis work and employs the Dynamic Bayesian Network (DBN) described in this paper and my PhD thesis). It is not a masterpiece of software engineering and it uses unspeakable amounts of memory (songs of about 6 minutes can use >10GB!, but your standard 4 minute pop song should be doable on today’s laptops). But it still works. You need Matlab to run it, and the matlab binary should be in your path. To test, run ./doChordID-osx.sh testFileList.txt testout/ on OS/X or ./doChordID.sh testFileList.txt testout/. So for people who missed the first link, the code can be downloade…

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[3 Apr 2014 | No Comment | 76 views]
http://schall-und-mauch.de/artificialmusicality/wp-content/uploads/2014/04/screen-shot-2014-04-03-at-140203.png Today I presented Tony, the melody annotation software developed by Chris Cannam, George Fazekas and myself, at this year’s Conference of the Society for Education, Music and Psychology Research. Excitingly, this is now the much improved version 0.5, and Chris managed to put new builds of Tony up on the project’s Download page. I had a relatively small audience, maybe 25 people, but reception was generally good, with some people being very excited. Not sure what this means. I hope some people will start using Tony soon. I uploaded my slides here. The conference itself is different from what I’m used to usually. Obviously, it’s focused on education, and there’s actually quite a lot of technology going on. So it’s quite funny to be at a music technology conference where there is essentially no-one I know! Thanks to Chris and George, but also, for their invaluable input: Rachel Bittner, Justin Salamon and Juan Pablo Bello at NYU.…

Conference Paper, Publication »

[28 Jan 2014 | No Comment | 147 views]
Abstract: We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals, and propose its usage as a means of evaluating and comparing the robustness of audio processing algorithms. Music recordings encountered in practical applications are subject to varied, sometimes unpredictable degradation. For example, audio is degraded by low-quality microphones, noisy recording environments, MP3 compression, dynamic compression in broadcasting or vinyl decay. In spite of this, no standard software for the degradation of audio exists, and music processing methods are usually evaluated against clean data. The ADT fills this gap by providing Matlab scripts that emulate a wide range of degrada…

Conference Paper, Publication »

[28 Jan 2014 | No Comment | 139 views]
Abstract: In the past decade, non-negative matrix factorisation (NMF) and probabilistic latent component analysis (PLCA) have been used widely in automatic music transcription. Despite their successes, these methods only guarantee that the decomposition converges to a local minimum in the cost function. In order to find better local minima, we propose to extend an existing PLCA-based transcription method with the deterministic annealing EM (DAEM) algorithm. The PLCA update rules are modified by introducing a “temperature” parameter. At higher temperatures, general areas of the search space containing good solutions are found. As the temperature is gradually decreased, distinctions in the data are sharpened, resu…

from me to you »

[7 Jan 2014 | No Comment | 172 views]
Just a quick reminder that you can still apply for a funded PhD position in Signal Processing and Data Mining Tools for the Analysis of Musical Evolution, as previously posted. Job description is here (at jobs.ac.uk).

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[6 Jan 2014 | No Comment | 218 views]
I’d already sent it out to the world on Twitter and the music-ir list, but here’s just a quick note to say that there’s quite a lot of new software out from me and the C4DM at large. Four different things! Here’s approximately what I wrote on the music-ir list: Segmentino — this is my 2009 segmentation method, which we have recently implemented as a Vamp plugin. This version is what ran at MIREX this year. BeatRoot Vamp Plugin — this is a C++ implementation of Simon Dixon’s trusty beat tracker (originally implemented in Java). This is the second serious beat tracker QM offers (the other one comes with the qm-vamp-plugins). pYIN is “probabilistic YIN” — my generalisation of the time-tested YIN algorithm for monophonic pitch tracking. Also implements YIN, but pYIN is more robust than YIN alone. Also implements a note tracker. Tony is a tool for melody annotation. A little brother of Sonic Visualiser, which is simpler but specialised on note editing. A collaboration between Chris Cannam, George Fazekas and me — WARNING: still a prototype (don’t expect too much). All these are also linked from my Software page.…

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[25 Nov 2013 | No Comment | 400 views]
http://www.eecs.qmul.ac.uk/~matthiasm/audioquality/background.jpg I’m very lucky to be able to offer a funded PhD position for next year, in combined MIR and evolutionary music analysis. So if you know someone who’d be a good fit, let them know! They will be based here at the Centre for Digital Music, I will supervise, and Prof. Armand Leroi at Imperial College will advise on evolutionary matters. This should be one of the most fun PhDs in the universe (if that’s your idea of fun—it is mine!). You can find the serious description on the jobs.ac.uk website. Go for it!

Featured, from me to you »

[31 Okt 2013 | No Comment | 265 views]
http://schall-und-mauch.de/artificialmusicality/wp-content/uploads/2013/10/adtscreenshot.png I’m about to embark on a tour promoting our new album, well: paper, called “The Audio Degradation Toolbox and its Application to Robustness Evaluation” (pdf here). You can read all about the toolbox, listen to examples and get the source code on http://code.soundsoftware.ac.uk/projects/audio-degradation-toolbox. My little tour first leads me to New York, where I’ll give a little presentation at LabROSA, Dan Ellis’s lab at Columbia University. Only two nights though, then I’ll be off to Curitiba in Brazil, for the ISMIR conference. There I’ll be presenting the ADT “officially” with a poster. Tian Cheng, my first PhD student, has some interesting stuff to tell abo…

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[27 Sep 2013 | No Comment | 289 views]
http://schall-und-mauch.de/artificialmusicality/wp-content/uploads/2013/09/dt2-screenshot.png There’s a new DarwinTunes, and we’re going to reveal it today at the Discovery Festival in the Amsterdam, Rotterdam and Eindhoven. So what is DarwinTunes 2.0? It’s a music evolution machine, wrapped into a shiny web app, in which a community of music lovers can breed musical loops. This community is going to be the visitors of the three sites of the discovery festival tonight, and when everything goes well, we’ll announce the URL at midnight Central European Summer Time, so the whole world can join. Some of you may know the original DarwinTunes, with which we successfully evolved pleasant loops (see SoundCloud) and which led to a super scientific paper and even a prestigious prize (I reported). But in the or…

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[16 Sep 2013 | No Comment | 263 views]
Watch me talk about our work on the Evolution of Music by Public Choice in this interview with FACULTI. It’s mainly a pop science view on our paper (available here). I think they did a good job at editing (except possibly the little flattering still of me on the video thumbnail…).