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.

To learn more about my work please take a look at my Publications page or my Google Scholar profile. If you're interested in applying some of my work, visit my Software page.

Done and Liked »

[6 Mai 2015 | 5 Comments | 506 views]
Very excited, gave lots of interviews. Find the actual paper here (links to the paper’s Royal Society Open Science website).

Done and Liked, Featured »

[22 Apr 2015 | Comments Off | 213 views]
pYIN v1.1 is released! After the launch a couple of weeks ago of the lovely Tony software for melody transcription we have now released the automatic pitch and note tracker pYIN as a Vamp plugin in its own right. It’s a slightly refined version with improved note tracking. Best to go to the project page, which explains everything, or directly to the downloads page with compiled binaries and source code downloads. Enjoy!

Conference Paper, Publication »

[2 Apr 2015 | Comments Off | 325 views]
http://schall-und-mauch.de/artificialmusicality/wp-content/uploads/2015/04/tony_screenshot_2015-03-31.png     Publication authored by M Mauch and C Cannam and R Bittner and G Fazekas and J Salamon and J Dai and J Bello and S Dixon.
We present Tony, a software tool for the interactive annotation of melodies from monophonic audio recordings, and evaluate its usability and the accuracy of its note extraction method. The scientific study of acoustic performances of melodies, whether sung or played, requires the accurate transcription of notes and pitches. To achieve the desired transcription accuracy for a particular application, researchers manually correct results obtained by automatic methods. Tony is an interactive tool directly aimed at making this correction task efficient. It provides (a) state-of-the art algorithms for pitch and note estimation, (b) visual and auditory feedback for easy error-spotting, (c) an intelligent graphical user i

Journal Paper, Publication »

[2 Apr 2015 | Comments Off | 443 views]
  Publication authored by Matthias Mauch and Robert M MacCallum and Mark Levy and Armand M Leroi. PDF HERE. In modern societies, cultural change seems ceaseless. The flux of fashion is especially obvious for popular music. While much has been written about the origin and evolution of pop, most claims about its history are anecdotal rather than scientific in nature. To rectify this we investigate the US Billboard Hot 100 between 1960 and 2010. Using Music Information Retrieval (MIR) and text-mining tools we analyse the musical properties of ~17,000 recordings that appeared in the charts and demonstrate quantitative trends in their harmonic and timbral properties. We then use these properties to produce an audio-based classification of musical styles and study the evolution of musical diversity and disparity, testing, a…

The Pop Files »

[23 Mrz 2015 | Comments Off | 402 views]
Why not listen to Dancing Queen again? A masterpiece of pop, by one of the most prolific and successful songwriting partnerships the world has ever seen: Benny Andersson and Bjoern Ulvaeus from ABBA. Get your headphones out. So what is Dancing Queen about? It’s about getting nerdy boys onto the dance floor. How does it do that?
Firstly, very clever, suggestive lyrics, secondly an onslaught of never-ending, interlocking melody madness. Well, and yes, there’s some other bits going on as well. But let’s listen together first and then I’ll tell you more.


0:00 Straight in! Instantly recognisable piano [zoom], then into the intro with that instantly recognisable synth tune. Not any old borin…

Conference Paper, Publication »

[16 Feb 2015 | Comments Off | 256 views]
http://schall-und-mauch.de/artificialmusicality/wp-content/uploads/2015/02/notemodelling.png     Publication authored by Tian Cheng and Simon Dixon and Matthias Mauch. We investigate piano acoustics and compare the theoretical temporal decay of individual partials to recordings of real-world piano notes from the RWC Music Database. We first describe the theory behind double decay and beats, known phenomena caused by the interaction between strings and soundboard. Then we fit the decay of the first 30 partials to a standard linear model and two physically-motivated non-linear models that take into account the coupling of strings and soundboard. We show that the use of non-linear models provides a better fit to the data. We use these estimated decay rates to parameterise the characteristic decay response (decay rates along frequencies) of the piano under investigation. The results also show…

Conference Paper, Publication »

[16 Jan 2015 | Comments Off | 310 views]
http://cdn1.editmysite.com/uploads/3/2/1/8/32182799/background-images/1927180276.png     Publication authored by Rachel Bittner and Justin Salamon and Mike Tierney and Matthias Mauch and Chris Cannam and Juan Bello. We introduce MedleyDB: a dataset of annotated, royalty-free multitrack recordings. The dataset was primarily developed to support research on melody extraction, addressing important shortcomings of existing collections. For each song we provide melody f0 annotations as well as instrument activations for evaluating automatic instrument recognition. The dataset is also useful for research on tasks that require access to the individual tracks of a song such as source separation and automatic mixing. In this paper we provide a detailed description of MedleyDB, including curation, annotation, and musical content. To gain insight into the new challenges presented by the dataset, we run a set of experiments using a state-of…

Done and Liked, Featured, Other, Publication »

[11 Jan 2015 | Comments Off | 307 views]
http://schall-und-mauch.de/anatomy-of-the-charts/aotc1_files/137.png   Publication authored by Matthias Mauch. I’ve finally found a new home for the series of 5 blog posts called the “Anatomy of the Charts”, which I wrote in 2011 during my stay as a Research Fellow at Last.fm. In 2011 I’d started thinking about the evolution of music, and Last.fm provided the chance to analyse some really exciting data: more than 15,000 recordings from 50 years of UK charts. There was little scope for properly scientific work then, but Last.fm gave me the freedom to write about this on their blog, and my team lead at the time, Mark Levy, helped as well. This resulted in the series of 5 blog posts investigating different musical dimensions in a data-driven, but entertaining way—or so I hope. Sadly, as time went on, some image and text on La…

Conference Paper, Publication »

[9 Jan 2015 | Comments Off | 214 views]
    Publication authored by Tian Cheng and Simon Dixon and Matthias Mauch.
Recently, we have witnessed an increasing use of the source-filter model in music analysis, which is achieved by integrating the source filter model into a non-negative matrix factorisation (NMF) framework or statistical models. The combination of the source-filter model and NMF framework reduces the number of free parameters needed and makes the model more flexible to extend. This paper compares four extended source-filter models: the source-filter-decay (SFD) model, the NMF with time- frequency activations (NMF-ARMA) model, the multi-excitation (ME) model and the source-filter model based on β-divergence (SFbeta model). The first two models represent the time-varying spectra by adding a loss filter and a tim

Conference Paper, Publication »

[8 Jan 2015 | Comments Off | 207 views]
    Publication authored by Christof Weiß and Matthias Mauch and Simon Dixon.
We propose a novel set of chroma-based audio features inspired by pitch class set theory and show their utility for style analysis of classical music by using them to classify recordings into historical periods. Musicologists have long studied how composers’ styles develop and influence each other, but usually based on manual analyses of the score or, more recently, automatic analyses on symbolic data, both largely independent from timbre. Here, we investigate whether such musical style analyses can be realised using audio features. Based on chroma, our features describe the use of intervals and triads on multiple time scales. To test the efficacy of this approach we use a 1600 track balanced corpus that covers the Baroque, Cl