In winter term 2015/2016, a proseminar “Actual challenges in music data analysis” (website in German) will take place at Chair of Algorithm Engineering, TU Dortmund. The topics for student talks and works should represent various MIR research areas and are selected from the proceedings of ISMIR 2014.
Two papers were accepted for upcoming conferences:
D. Jannach, L. Lerche, I. Kamehkhosh: Beyond “Hitting the Hits” – Generating Coherent Music Playlist Continuations with the Right Tracks. Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, 2015
I. Vatolkin, G. Rudolph, C. Weihs: Evaluation of Album Effect for Feature Selection in Music Genre Recognition. Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015), Malaga, 2015
A PhD position is available at the Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany.
The PhD project aims at the development and the experimental evaluation of algorithms for music signal processing in hearing devices. The applicant must have completed a Master’s degree in electrical engineering (or must hold an equivalent degree) and should be fluent in German. More information about the position and the application procedure can be found here:
The call is open until February 27th.
This month two papers were accepted.
The first one will appear in post-proceedings of ECDA 2014 and compares audio features and playlist statistics for music classification:
I. Vatolkin, G. Bonnin, D. Jannach – Comparing Audio Features and Playlist Statistics for Music Classification
The second one is accepted for EvoMUSART 2015. The conference will take place on 8.4-10.4.2015 in Copenhagen, Denmark. The paper describes a method for the maximization of interpretability in music classification without a limitation to use high-level (semantic) features only:
I. Vatolkin, G. Rudolph, C. Weihs – Interpretability of Music Classification as a Criterion for Evolutionary Multi-Objective Feature Selection
The paper I. Vatolkin – Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: a Survey and a Case Study (Application to Music Categorisation) is accepted for EMO 2015. The conference will take place on 29.3-1.4.2015 in Guimarães, Portugal.
The article G. Bonnin and D. Jannach – Automated Generation of Music Playlists: Survey and Experiments, ACM Computing Surveys, Vol. 47, No. 2, Article 26 is now available online.
The paper is a detailed survey on playlist generation. First, different generation algorithms and the different types of data they can use are classified, the common approaches for the evaluation of the quality of the generated playlists are reviewed. In a second part, the results of thorough experiments are presented in which several existing algorithms are compared using several evaluation approaches. The results suggest that the order of the tracks, artist information, and track popularity are three important criteria to take into account when generating playlists and that some existing evaluation approaches have their limitations.
As a part of Digital Entertainment Technologies student project, various mobile music games will be developed for Android platform using Unity in small groups of 3-5 students. Different features from actual MIR research (audio signal characteristics, high-level semantic descriptors, playlist statistics) should be integrated to control the game process. The results will be presented on 15.12.2014.
The paper on the analysis of playlist characteristics (D. Jannach, I. Kamehkhosh, and G. Bonnin – Analyzing the Characteristics of Shared Playlists for Music Recommendation) is accepted for the 6th ACM RecSys Workshop on Recommender Systems and Social Web.
At the opening session of European Conference on Data Analysis 2014 in Bremen, Daniel Stoller received one of two “Best Paper” awards for ECDA 2013 postproceeding paper, “Impact of Frame Size and Instrumentation on Chroma-based Automatic Chord Recognition”.
With Daniel as the first author, this paper presents the results of the joint work together with Matthias Mauch (Queen Mary University of London), Igor Vatolkin (TU Dortmund, Department of Computer Science), and Claus Weihs (TU Dortmund, Faculty of Statistics). Daniel works as a student assistant at the Chair of Algorithm Engineering, Department of Computer Science, TU Dortmund. For further details about the awards see the book of abstracts.
12th Workshop on Intelligent Techniques for Web Personalization & Recommendation (ITWP 2014)
In conjunction with AAAI 2014, July 27/28, 2014 – Quebec, Canada
Dietmar Jannach, Department of Computer Science, Technische Universität Dortmund, Germany
Bamshad Mobasher, School of Computer Science, DePaul University, Chicago, USA
* 10 April: Paper submission deadline
* 1 May: Author notification
* 15 May: Camera-ready versions due
* 27/28 July: Workshop held
For further details please visit http://ls13-www.cs.uni-dortmund.de/homepage/itwp2014/