The Computational Music and Sound Archiving Toolbox

CoMSAr : New Perspectives in Digital Music and Sound Archiving

The CoMSar project provides a comprehensive digital infrastructure for music researchers:

  • Digital preservation, management, and exchange of musicological sound and audio-visual recordings
  • Extensive Music Information Retrieval (MIR) features based on advanced artificial intelligence and deep learning algorithms
  • Detailed document search and data exchange facilities (OAI-PMH compatible)
  • Comprehensive, consistent annotation and meta-data schemes (Dublin-Core compatible)
  • Implementation of state-of-the art 3D-imaging technology for musical instruments


The CoMSAr project addresses a wide variety of stakeholders and approaches with regard to the academic study of music:


  • Academic researchers and teachers in musicology, ethnomusicology, audiology, acoustics, and related fields
  • Musicians and artists
  • Instrument makers and collectors of musical instruments
  • Museums and exhibitions
  • Schools and public education providers
  • Media professionals (TV, film, broadcast, online media)


Learn more about the CoMSAr Tools:


The development and improvement of the CoMSAr architecture is an ongoing project at the Institute for Systematic Musicology, University of Hamburg, and is funded by the Deutsche Forschungsgemeinschaft (DFG).





18th October