•   Stiftung Preußischer Kulturbesitz
  • Staatsbibliothek zu Berlin
  • Geheimes Staatsarchiv PK
  • Staatliche Museen zu Berlin
  • Ibero-Amerikanisches Institut

Empirics, Computation, Mathematics, Science and Technology in Music and Acoustical Signal Analysis (ECMST ~ MASA)

ECMST ~ MASA is a forum initiated by the Staatliches Institut für Musikforschung (National Institute for Music Research, Berlin) that aims to provide a platform for presenting and exchanging information regarding the current state of empirical, mathematical, technological, scientifical and computer based research in music and sound. The main focus lies on innovative and interdisciplinary research and methodologies. The event is supervised by the Department of Music Technology and Acoustics of the Institute.

The initial event ECMST ~ MASA I was held as a poster session.
For this purpose, seven out of 25 international submitted papers from three different countries were selected.

Scientific selection and organization:

Timour Klouche and Karl Roman
Staatliches Institut für Musikforschung

Contact:
klouche@sim.spk-berlin.de
roman@sim.spk-berlin.de



ECMST ~ MASA I
Staatliches Institut für Musikforschung PK Berlin.

Themes and participants:

Symmetry and Periodicity in the Sieves of Xenakis’s Shaar.

Dimitris Exarchos
Department of Music, Goldsmiths, University of London, UK


MIRtoolbox: a Matlab toolbox for music and audio analysis.

Olivier Lartillot, Petri Toiviainen, Tuomas Eerola
Finnish Centre of Excellence in Interdisciplinary Music Research
University of Jyväskylä, Finland


Sonification of 3k Cellular Automaton 6 148 201 356 997.

Katarina Miljkovic
Theory Department of New England Conservatory of Music, Boston
USA


An information theoretic study on the relationship between instruments in musical compositions.

Christopher W. Kulp
Department of Astronomy and Physics,
Lycoming College, USA

Bryan Deloe
Department of Astronomy and Physics,
Lycoming College, USA

Katibeth Lybrand
Department of Physics and Astronomy,
Eastern Kentucky University, USA


Generating Better Similarity Functions for Music Analysis.

Atte Tenkanen
Department of Musicology, University of Turku
Finland


Computational Motivic Pattern Extraction.

Olivier Lartillot
Finnish Centre of Excellence in Interdisciplinary Music Research
University of Jyväskylä, Finland


Investigation on Nonlinear Tuning Systems for Microtonal Triple Harps.

Eleri Angharad Pound
Interdisciplinary Centre for Scientific Research in Music (ICSRiM)
University of Leeds, UK


  German version

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