Conference Paper, Publication »

[8 Jan 2015 | Comments Off | 240 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

Journal Paper, Publication »

[1 Jan 2015 | Comments Off | 231 views]
    Publication authored by Peter Foster and Matthias Mauch and Simon Dixon. We propose string compressibility as a descriptor of temporal structure in audio, for the purpose of determining musical similarity. Our descriptors are based on computing track-wise compression rates of quantised audio features, using multiple temporal resolutions and quantisation granularities. To verify that our descriptors capture musically relevant information, we incorporate our descriptors into similarity rating prediction and song year prediction tasks. We base our evaluation on a dataset of 15,500 track excerpts of Western popular music, for which we obtain 7,800 web-sourced pairwise similarity ratings. To assess the agreement among similarity ratings, we perform an evaluation under controlled condit…

from me to you »

[10 Dez 2014 | Comments Off | 199 views]
I’m delighted to be able to give a seminar talk as part of the Statistics Seminar Series in the School of Mathematical Sciences at Queen Mary. It’s happening at 1600 for a start at 1630 on Thursday 11th December, 2014 (location: Mathematics Seminar Room (203) on Level 2 of the Mathematics Building). You can find the abstract here. In essence, it’s an overview of much of my research since 2007, with some emphasis on the recent evolutionary stuff. I think anyone can come along, so if you want to get up to speed with what I do, then do come along.

Seen and Liked »

[3 Nov 2014 | Comments Off | 309 views]
http://www.bbc.co.uk/rd/images/dynamic/W1siZmYiLCJwdWJsaWMvcmQvc2l0ZXMvNTAzMzVmZjM3MGI1YzI2MmFmMDAwMDA0L2NvbnRlbnRfZW50cnk1MDRlMTgxNTcwYjVjMjBhMGMwMDEzNDQvNTQ1NzY3NGVhY2ZiYWIwNDRkMTNkZDZlL2ZpbGVzL2NvbWJpbmVkLmpwZyJdLFsicCIsInRodW1iIiwiNTkyeCJdXQ/combined.jpg I’m happy that Segmentino, our Vamp implementation of my music segmentation algorithm is being used at the Beeb. BBC R&D did some research to find efficient ways of editing down a piece of music to 30 seconds, as Chris Baume describes in this blog post. Their tests suggest that the more sophisticated automatic methods (including the one using Segmentino) perform similarly to manual edits. The research was carried out—under Chris’s supervision—by Adib Mehrabi. Incidentally, Segmentino has recently been used in other research, too, in Wang’s cool paper about automatic segmentation of full-length concert videos, as seen at ISMIR last week.

Seen and Liked »

[25 Okt 2014 | Comments Off | 434 views]
Looking at the ISMIR 2014 programme I discovered that Emilio Molina and colleagues have tested our pYIN pitch tracker against a range of other methods (SWIPE, YIN, MELODIA, Boersma/Lei Wang, …). Here’s a link to their paper entitled “The importance of F0 tracking in Query-by-Singing-Humming“. Their results suggest that pYIN is among the best trackers on clean data, and the most robust against noise and distortion. Nice.

Done and Liked »

[19 Okt 2014 | Comments Off | 412 views]
http://schall-und-mauch.de/artificialmusicality/wp-content/uploads/2014/10/IMG_7045_1024.jpg On Friday I had the pleasure of giving a talk about my research at the institute for musicology at the Tokyo University of the Arts just next to beautiful Ueno Park. Pat Savage, who studies for a PhD in comparative musicology there, organised the talk and also helped with translations when necessary. It appeared to me that, while often the study of musicology is still deeply traditional, some students start using computer tools to aid their study (especially pleased to hear that Sonic Visualiser was used). I also had a nice time after my talk chatting to some students in the cafeteria, and then with Pat discussing future projects. After the business had been dealt with, I walked over to Akihabara through the busy market streets of Ueno. In order to avoid the main rush hour on the train back to Tsukuba I stuck around for a while and grabbed a beer in a tiny bar called BeerS, where I got a warm welcome from the bar tender, and ended up chatting for hours to businessmen, who import flow measurement devices from Germany (and who excitedly showed me pictures of their party in Balver Höhle of all places!). Can be lovely folks, them Japanese.…

AIST Series »

[24 Sep 2014 | Comments Off | 215 views]
I will be going to Japan once more on Saturday, to work with Masataka Goto and colleagues in the green wonderland that is the AIST campus in Tsukuba (Google map). Besides the pleasures of Japanese food and the luxurious accommodation in Ninomiya House, I’m very much looking forward do to some exciting work with Masataka. What on? Strictly secret, of course. :) Anyway expect me to be busy and not very responsive to Emails from the Western world for the next month or so.

C4DM Series »

[24 Sep 2014 | Comments Off | 254 views]
Maria Panteli joined us last week as a PhD candidate. She’s going to be working with me,  Simon and Armand to improve our understanding of how musical styles evolve in time and space (!). Maria is no stranger to the strange world of Music Informatics, having done her Master’s at MTG in Barcelona (on Byzantine chants) and, more recently, some work with Aline Honingh (Amsterdam) on rhythm in electronic dance music. Maria’s topic is officially “Signal Processing and Data Mining Tools for the Analysis of Musical Evolution”, and I’m looking forward to exploring that subject with her. Welcome Maria!

Done and Liked »

[2 Aug 2014 | Comments Off | 284 views]
I’ve thrown together a little website, POETRY // CHAIN, which in theory should be quite fun — if at least some people use it. You can browse mini poems (up to 111 characters) and contribute your changes and improvements to the latest poems. Oh, and browse their “families”. Well, I hope you give it a go.

from me to you »

[30 Jul 2014 | Comments Off | 529 views]
When I started out as a researcher I didn’t really think of reviewers as humans. Scientific peer-to-peer review was simply the gateway to publishing my first papers, and the reviewers were usually not really peers yet at all: they were all more senior than I was, and I perceived any wrong judgements they made as noise, random errors. And when reviews are bad (short, unhelpful) as well as negative, it’s usual to view the reviewers as evil machines. Having reviewed papers myself now for several years, it has become apparent to me that there’s more to it, there’s a non-random, predictable component involved. It’s got to do with the fact that reviewers are human. Take me: I’m in research because I en…