PhD position available at the Institute of Communication Acoustics, RUB

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:

http://www.ruhr-uni-bochum.de/ika/aktuelles/Stellenangebot_E13_H2015.pdf

The call is open until February 27th.

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Two papers accepted

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

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EMO paper accepted

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.

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A survey article on playlist generation available online

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.

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Mobile music games in a student project

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.

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RecSyS paper accepted

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.

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ECDA best paper award

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.

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Call for papers: AAAI 2014 Workshop

12th Workshop on Intelligent Techniques for Web Personalization & Recommendation (ITWP 2014)

In conjunction with AAAI 2014, July 27/28, 2014 – Quebec, Canada

Organization:
Dietmar Jannach, Department of Computer Science, Technische Universität Dortmund, Germany
Bamshad Mobasher, School of Computer Science, DePaul University, Chicago, USA

IMPORTANT DATES
* 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/

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Update of the internal music database

The music database for genre and style recognition has been extended with an artist-independent test set TSAI120. This set has the same genre and approximately the same style distribution and is designed to evaluate the possible overfitting towards particular artists / albums. The description of the complete database and the lists of features are here.

The songs can not be freely distributed. However, if you are interested in audio features from my PhD, you can write me an email!

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PhD ready

The PhD is available online:
Bernd Bischl – Model and Algorithm Selection in Statistical Learning and Optimization.

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