How would it sounds, if we could hear all seismically generated signals within the Earth?
How can the analysis of seismic signals benefit from Music Information Retrieval (MIR) research?
How can the analysis of Traditional Georgian Vocal Music benefit from seismologically inspired recordings techniques?
How can geographic concepts help to visualize the chord progressions in Traditional Georgian Vocal Music?
What can we learn from heartbeat recordings during phonation?
Soundscape Earth

Everything that vibrates sounds, even if we can not hear it with our ears.

MIR beyond music

The similarity of musical and seismic signal properties can be exploited during analysis.

Singing and body vibrations

Body vibration recordings allow the separate analysis of individual singers in an ensemble.

Chordscapes and song trajectories

Graph theory provides powerful tools to investigate the chord progression structure in music.

Beyond Acoustics

Heartbeat variability recordings during singing may capture non-verbal interaction of singers.

  • SeismoSoundScape-Lab
Artem Erkomaishvili

20 Years Inner Earth

This year is the 20th anniversary of the release of the award winning CD Inner Earth: a seismosonic symphony in which Wolfgang Loos and Frank Scherbaum captured the sound of our home planet.

Map of recorded body vibrations during singing

Straight From The Larynx

Recordings of body vibration during singing changes ethnomusicological field recording practice. Individual voices can be recorded jointly, but analysed separately.

Portrait Artem Erkomaishvili

Echoes From The Past

The Tbilisi State Conservatory recordings of Artem Erkomaishvili from 1966 are not only a cultural treasure but also an extremely valuable source of information regarding prior performance practice.

New publications

Rosenzweig, S., Scherbaum, F., Shugliashvili, D., Arifi-Müller, V., & Müller, M. (2020). Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology. Transactions of the International Society for Music Information Retrieval, 3(1), pp. 31–41. DOI: (PDF)

Rosenzweig, S., Scherbaum, F., &  M. Müller (2019). Detecting stable regions in frequency trajectories for tonal analysis of traditional Georgian vocal music. Accepted for presentation at the 20. Conference of the International Society for Music Information Retrieval, 4-8 November,  Delft. (PDF)

Mzhavanadze, N., & Chamgeliani, M. (2019). Analysis of mutual influence of music and text in Svan songs. Proceedings of the 9th International Workshop on Folk Music Analysis, 2-4 July, 2019, Birmingham. (PDF)

Scherbaum, F., Mzhavanadze, N., Rosenzweig, S., & Müller, M. (2019). Multi-media recordings of traditional Georgian vocal music for computational analysis.  Proceedings of  the 9th International Workshop on Folk Music Analysis, 2-4 July, 2019, Birmingham. (PDF)