Tag Archives: city_university
Paper(ISMIR2015): Comparative Music Similarity Modelling using Transfer Learning across User Groups
We presented “Comparative Music Similarity Modelling using Transfer Learning across User Groups“, as poster at IMSIR2015 in Malaga, Spain. This paper continues the similarity modelling methods described in my PhD thesis towards their intended use for modelling and comparing user … Continue reading
The DML Project
The Digital Music Lab is an AHRC project that researches and developes an infrastructure – both in methodology as in a technical framework – for musicological research on large datasets. It furthermore provides researchers and users with datasets and computational … Continue reading
PhD Thesis: “Spot the Odd Song Out: Similarity Model Adaptation and Analysis using Relative Human Ratings”
Finally I managed to put almost everything I have done research on together in one volume, and here is the outcome: Authors:Daniel Wolff Music Informatics Group, City University London. download thesis Abstract: Understanding how listeners relate and compare pieces of … Continue reading
Poster(Sysmus2014): Adapting computational music similarity models to geographic user groups
We presented “Adapting computational music similarity models to geographic user groups”, as poster at Sysmus 2014 at Goldsmiths University of London. Authors:Daniel Wolff and Tillman Weyde Music Informatics Group, City UniversityLondon. dowload poster Abstract: We present first results of experiments … Continue reading
Talk(DMRN+8): Adapting music similarity models to geographic user groups
We presented first experiments on adapting music similarity models to geographic user groups poster at DMRN+8 at Queen Mary University. Authors:Daniel Wolff, Tillman Weyde and Andrew MacFarlane Music Informatics Group, City UniversityLondon. dowload slides Abstract: We present first results of … Continue reading
Poster(DMRN+7): An online game for collecting music similarity data
We presented, “Spot the Odd Song Out”: an online game for collecting music similarity data poster at DMRN+7 at Queen Mary University. Authors:Daniel Wolff(1), Guillaume Bellec(2) and Tillman Weyde(1) (1) Music Informatics Group, City UniversityLondon. (2)École Nationale Supérieure de Techniques … Continue reading
GAME: Spot The Odd Song Out
In a collaboration with Guillaume Bellec at ENSTA Paristech, we have developed “Spot The Odd Song Out”, a music game on Facebook. The fast-paced multi-player game allows users to explore new music, based on their favourite genre. The researchers use … Continue reading
Poster(Listening Into The Wild @QMUL): Bioacoustic monitoring in realistic scenarios
Today I presented a summary of our project from Bonn University and the Animal Sound Archive Berlin as a poster at the Listening Into The Wild Workshop at Queen Mary University. Authors:Daniel Wolff, Rolf Bardeli(2), Martina Koch(3), Klaus-Henry Tauchert(4), Karl-Heinz … Continue reading
Paper + Code(ISMIR2012): A Systematic Comparison of Music Similarity Adaptation Approaches
Sebastian and myself presented the Paper (pdf) at ISMIR 2012 in the first poster session of Tuesday, October 9th 2012. Authors: Daniel Wolff(1), Sebastian Stober(2), Andreas Nürnberger(2), Tillman Weyde(1) (1)City UniversityLondon, (2)Otto-von-Guericke-Universität Magdeburg Abstract: In order to support individual user … Continue reading
Paper (AdMIRe12): Adapting Similarity on the MagnaTagATune Database. Effects of Model and Feature Choices
This paper was presented at the AdMIRe workshop at the WWW2012 conference. The paper is freely available in the proceedings here. The PDF: presentation can be accessed here. Authors: Daniel Wolff and Tillman Weyde Abstract: Predicting user’s tastes on music … Continue reading