Multi-Layer Analysis and Structuring of Music Signals (MU 2686/5-1)

Third party funded individual grant


Acronym: MU 2686/5-1

Start date : 01.01.2011

End date : 31.10.2015

Website: https://www.audiolabs-erlangen.de/fau/professor/mueller/projects/metrum


Project details

Short description

Due to the diversity of music in form and content, the automated processing of music signals poses major challenges. In the METRUM project, we developed robust and adaptive algorithms for analyzing and structuring music signals in the presence of acoustical and musical variabilities. One main innovation of the METRUM project consisted of a multi-layered analysis and structuring approach, considering different aspects such as time, rhythm, dynamics, harmony, and timbre. In addition to these aspects, we exploited that a piece of music is often available in numerous interpretations. Simultaneously considering these aspects and interpretations stabilized the automatic analysis and segmentation results. In order to ensure practical relevance and sustainability, we developed user interfaces for multimodal navigation in music databases in cooperation with the Beethoven-Haus Bonn and the Saar University of Music. One such interface was implemented for the Digital Beethoven House and made accessible to the general museum public and a specialist audience.

Scientific Abstract

Due to the diversity of music in form and content, the automated processing of music signals poses major challenges. In the METRUM project, we developed robust and adaptive algorithms for analyzing and structuring music signals in the presence of acoustical and musical variabilities. One main innovation of the METRUM project consisted of a multi-layered analysis and structuring approach, considering different aspects such as time, rhythm, dynamics, harmony, and timbre. In addition to these aspects, we exploited that a piece of music is often available in numerous interpretations. Simultaneously considering these aspects and interpretations stabilized the automatic analysis and segmentation results. In order to ensure practical relevance and sustainability, we developed user interfaces for multimodal navigation in music databases in cooperation with the Beethoven-Haus Bonn and the Saar University of Music. One such interface was implemented for the Digital Beethoven House and made accessible to the general museum public and a specialist audience.

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