You are here: Home » Program » Workshops » WS03 – MML10: 3rd ACM Workshop on Machine Learning and Music

WS03 – MML10: 3rd ACM Workshop on Machine Learning and Music

8:30 – 10:30

Oral Session 1

Audio Analysis

Chair

Rafael Ramirez, Universitat Pompeu Fabra, Spain

“Copy and scale” method for doing time-localized M.I.R. estimation: application to beat-tracking

Geoffroy Peeters, IRCAM, France

Predicting Transformed Audio Descriptors: A System Design and Evaluation

Graham Coleman, Universitat Pompeu Fabra, Spain

Fernando Villavicencio, Universitat Pompeu Fabra, Spain

Sparse coding for drum sound classification and its use as a similarity measure

Simon Scholler (Bernstein Center for Computational Neuroscience, Germany

Hendrik Purwins, Universitat Pompeu Fabra, Spain

Model-based cover song detection via threshold autoregressive forecasts

Joan Serrà, University Pompeu Fabra, Spain

Holger Kantz, Max Planck Institute, Germany

Ralph G. Andrzejak, University Pompeu Fabra, Spain

Coffee Break

11:00 – 12:30

Oral Session 2

Music Modeling

Chair

Darrell Conklin, Universidad del País Vasco, Spain

Modeling Emotions in Violin Audio Recordings

Andreas Neocleous, University Pompeu Fabra, Spain

Rafael Ramirez, University Pompeu Fabra, Spain

Alfonso Perez, University Pompeu Fabra, Spain

Esteban Maestre, University Pompeu Fabra, Spain

Evaluating Multiple Viewpoint Models of Tabla Sequences

Parag Chordia, Georgia Institute of Technology, USA

Avinash Sastry, Georgia Institute of Technology, USA

Aaron Albin, Georgia Institute of Technology, USA

How Sparsely Can a Signal be Approximated while Keeping its Class Identity?

Manuel Moussallam, Telecom ParisTech, France

Thomas Fillon, Telecom ParisTech, France

Gaël Richard, Telecom ParisTech, France

Laurent Daudet, Institut Langevin, France

Lunch Break

14:00 – 16:00

Oral Session 3

Symbolic Music

Chair:

Christina Anagnostopoulou, University of Athens, Greece

Applying Subgroup Discovery for the Analysis of String Quartet Movements

Jonatan Taminau, Vrije Universiteit Brussel, Belgium

Ruben Hillewaere, Vrije Universiteit Brussel, Belgium

Stijn Meganck, Vrije Universiteit Brussel, Belgium

Darrell Conklin, Universidad del País Vasco, Spain

Ann Nowé, Vrije Universiteit Brussel, Belgium

Bernard Manderick, Vrije Universiteit Brussel, Belgium

Comparative pattern analysis of Cretan folk songs

Darrell Conklin, Universidad del País Vasco, Spain

Christina Anagnostopoulou, University of Athens, Greece

Characterisation of Composer Style using High-Level Musical Features

Lesley Mearns, Queen Mary University of London, UK

Dan Tidhar, Queen Mary University of London, UK

Simon Dixon, Queen Mary University of London, UK

Enhancing chord recognition accuracy using web resources

Matt McVicar, University of Bristol, UK

Tijl De Bie, University of Bristol, UK

Coffee Break

16:30 – 18:00

Oral Session 4

Genre Classification

Chair:

José Manuel Iñesta, University of Alicante, Spain

Compressing Lists For Audio Classification

Teppo E. Ahonen, University of Helsinki, Finland

Harmonic and instrumental information fusion for musical genre classification

Tomás Pérez-García, University of Alicante, Spain

Carlos Pérez-Sancho, University of Alicante, Spain

José M. Iñesta, University of Alicante, Spain

Feature Selection in a Cartesian Ensemble of Feature Subspace Classifiers for Music Categorisation

Rudolf Mayer, Vienna University of Technology, Austria

Andreas Rauber, Vienna University of Technology, Austria

Pedro. J. Ponce de León, University of Alicante, Spain

Carlos Pérez-Sancho, University of Alicante, Spain

José M. Iñesta, University of Alicante, Spain

Share:
  • Digg
  • del.icio.us
  • Facebook
  • Google Bookmarks
  • email
  • FriendFeed
  • RSS
  • Twitter
  • Job opportunities for researchers

  • ACM Multimedia 2010 Twitter