2024

Levan Shugliashvili, Nana Mzhavanadze, David Shugliashvili, and Frank Scherbaum (2024). Tracking changes in harmonic interval structures of Svan songs based on computational analysis of field recordings from 1959-1971. History, Archaeology, Ethnology, No. XI, 654-670. http://sciencejournals.ge/index.php/HAE/article/view/517/460

Frank Scherbaum,  Simha Arom, Florent Caron-Darras,  Ana Lolashvili,  and Frank Kane (2024).  On the Classification of Traditional Georgian Vocal Music by Computer-Assisted Score Analysis,  Musicologist   8(1): 28 -54. https://dergipark.org.tr/en/download/article-file/2935615

Simon Schwär, Michael Krause, Michael Fast, Sebastian Rosenzweig,  Frank Scherbaum, and Meinard Müller  (2024). A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction. Transactions of the International Society for Music Information Retrieval, 7(1), 30–43. DOI: https://doi.org/10.5334/tismir.166  

2023

Frank Scherbaum and Meinard Müller (2023). From Intonation Adjustments to Synchronisation of Heart Beat Variability: Singer Interaction in Traditional Georgian Vocal Music. Musicologist 7 (2): 155-177.  https://dergipark.org.tr/tr/download/article-file/2542106

Frank Scherbaum, Meinard Müller,  Nana Mzhavanadze and Sebastian Rosenzweig (2023). Scales beyond major and minor, in DFG-Journal  german research  2/2023, p. 25-29. https://www.uni-potsdam.de/fileadmin/projects/soundscapelab/PapersMusic/2023/GermanResearch_02-23_Scherbaum_.pdf

Frank Scherbaum, Meinard Müller,  Nana Mzhavanadze und Sebastian Rosenzweig (2023). Tonleitern jenseits von Dur und Moll, in DFG-Magazin forschung 2/2023, p. 16-21. https://www.uni-potsdam.de/fileadmin/projects/soundscapelab/PapersMusic/2023/forschung_2023_02.pdf

Frank Scherbaum, Sebastian Rosenzweig,  Reza Dokht  Dolatabadi Esfahani,  Nana Mzhavanadze,  Simon Schwär, and Meinard Müller  (2023). Novel representations of Traditional Georgian Vocal Music in Times of Online Access,   in  “Georgian Traditional Polyphony - Modern Trends and Development Perspectives”, Ed. Rusudan Tsurtsumia & Giorgi Donadze.  https://www.uni-potsdam.de/fileadmin/projects/soundscapelab/PapersMusic/2023/Novel_Representations_of_Traditional_Georgian_Vocal_Music_V02.pdf

Frank Scherbaum, Nana  Mzhavanadze,  Simha Arom, Sebastian Rosenzweig,  and Meinard Müller  (2023). Tonal Organization of the Erkomaishvili Dataset: Pitches, Scales, Melodies and Harmonies. Chapter 4 in “Anzor Erkomaishvili and Contemporary Trends in the Study of Traditional and Sacred Georgian Music”, Cambridge Scholars Publishing, Edited by  Joseph Jordania and Rusudan Tsurtsumia (279 pages), p. 53-88.  Same as:   https://doi.org/10.25932/publishup-47614.

2022

Scherbaum,  F. (2022). Five Years of Computational Analysis of Traditional Georgian Vocal Music: the GVM project. 11. International Symposium on Traditional Polyphony, Tbilisi, 26- 30 September 2022, Tbilisi, Georgia. (For backup purposes pre-recorded Video of the actual presentation  in Tbilisi.)

Arom, S.,  Caron-Darras, F., Kane, F., Lolashvili, A. & Scherbaum, F. (2022). Categorization of chord inventories and chord progressions of Georgian polyphony. 11. International Symposium on Traditional Polyphony, Tbilisi, 26- 30 September 2022, Tbilisi, Georgia. (For backup purposes pre-recorded Video of the actual presentation  in Tbilisi.)

Rosenzweig, S., Scherbaum, F., Müller, M. (2022). Computer-assisted analysis of field recordings: A case study of Georgian funeral songs. J. Comput. Cult. Herit. 16, 1, Article 13 (December 2022), 16 pages. doi.org/10.1145/3551645 (PDF)

Scherbaum, F., & Müller, M. (2022). Togetherness in Traditional Georgian Singing: From Tuning Adjustments to Synchronisation of Heartbeat Variability. Presentation at the Musical Togetherness Symposium (MTS-22), 13-15 July 2022, mdw – University of Music and Performing Arts Vienna, Vienna (Austria). (Video)

Scherbaum, F., Mzhavanadze, N., Rosenzweig, S., & Müller, M. (2022). Tuning Systems of Traditional Georgian Singing Determined From a New Corpus of  Field Recordings. Musicologist 2022. 6 (2): 142-168. DOI: 10.33906/musicologist.1068947 (PDF)

Zali, Z., T. Rein, F. Krüger, M. Ohrnberger, F. Scherbaum (2022). OBS noise reduction from horizontal and vertical components using harmonic-percussive separation algorithms, under discussion, doi.org/10.5194/egusphere-2022-823

2021

Mzhavanadze, N. , Scherbaum, F. (2021). Svan Funeral Dirges (Zär): Cultural Context. Musicologist, 5 (2), 133-165, DOI: 10.33906/musicologist.906765 (PDF)

Scherbaum, F , Mzhavanadze, N. (2021). Svan Funeral Dirges (Zär): Language-Music Relation and Phonetic Properties . Musicologist , 5 (1) , 67-82 . (PDF)

Zali, Z., M. Ohrnberger, F. Scherbaum, F. Cotton, and E. P. S. Eibl (2021). Volcanic Tremor Extraction and Earthquake Detection Using Music Information Retrieval Algorithms, Seismol. Res. Lett. 92, 3668–3681, doi: 10.1785/0220210016. (PDF)

Rosenzweig, S., Scherbaum, F., & Müller, M. (2021). Reliability assessment of singing voice F0-estimates using multiple algorithms. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (PDF)

Scherbaum, F., Mzhavanadze, N., Arom, S., Rosenzweig, S., and Müller, M. (2021). Analysis of Tonal Organization and Intonation Practice in the Tbilisi State Conservatory Recordings of Artem Erkomaishvili of 1966. Sixth Analytical Approaches to World Music Conference, June 9-12, 2021, Musée de l’Homme, Paris/France, 12 June 2021 in the Special Session in Honor of Simha Arom. (Video)  

2020

Mzhavanadze, N. & F. Scherbaum, (2020). Svan Funeral Dirges (Zär): Musicological Analysis,Musicologist, 4, 2, 168-197, DOI: 10.33906/musicologist.782185. (PDF)

Mzhavanadze, N. & F. Scherbaum (2020), Zär, polyphonic group laments from Svaneti/Georgia, Video presentation at the Annual Meeting of the Society of Ethnomusicology, Ottawa, 2020 Oct 30. (Video)

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: doi.org/10.5334/tismir.44 Zenodo DOI: https://doi.org/10.5281/zenodo.6900389 (PDF)

Rosenzweig, S., Cuesta, H., Weiß, C., Scherbaum, F., Gómez, E., & Müller, M. (2020). Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing. Transactions of the International Society for Music Information Retrieval, 3(1), pp. 98–110. DOI: doi.org/10.5334/tismir.48 (PDF)

Scherbaum, F. & Mzhavanadze, N.   (2020). Svan Funeral Dirges (Zär): Musical Acoustical Analysis of a New Collection of Field Recordings, Musicologist, 4, 2, 138-167, DOI: 10.33906/musicologist.782094. (PDF)

Scherbaum, F., Mzhavanadze, M., Arom, Rosenzweig, S., and  Müller, M. (2020). Tonal Organization of the Erkomaishvili Dataset: Pitches, Scales, Melodies and Harmonies,  Computational Analysis Of Traditional Georgian Vocal Music, 1, 64 pp., doi.org/10.25932/publishup-47614.  (PDF)

2019

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

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

2018

Scherbaum,F.,  S. Rosenzweig, M. Müller, D.  Vollmer, & N. Mzhavanadze (2018). Throat Microphones for Vocal Music Analysis, in Demos and Late Breaking News of the International Society for Music Information Retrieval Conference (ISMIR), 2018.  (Link)

Scherbaum, F., & Mzhavanadze, N. (2018). A new archive of multichannel-multimedia field recordings of traditional Georgian singing , praying, and lamenting with special emphasis on Svaneti.  LaZAR-Database. (Link)

Arom, S., Scherbaum, F. , &  F. C. Darras (2018). Structural Analysis and Modeling of Georgian and Medieval Polyphonies. 9th International Symposium on Traditional Polyphony, 30 Oct - Nov.3. (PDF)

Scherbaum, F.,Mzhavanadze, N. & E. Dadunashvili  (2018). A Web-Based, Long-Term Archive of Audio, Video, and Larynx-Micro- phone Field Recordings of Traditional Georgian Singing, Praying and Lamenting with Special Emphasis on Svaneti. 9th International Symposium on Traditional Polyphony, 30 Oct - Nov.3.  (PDF)

Scherbaum, F. (2018) From Musicology of the Earth to Computational Ethnomusicology of Georgian Music, Bulletin of the International Research Center for Traditional Polyphony, Tbilisi, Dec. 2018. (PDF)

2017

Scherbaum, F., Müller, M., & Rosenzweig, S. (2017). Analysis of the Tbilisi State Conservatory Recordings of Artem Erkomaishvili in 1966. Accepted for Presentation at the 7th International Workshop on Folk Music Analysis, June 14-16 2017, Malaga, Spain, 8pp.  (PDF)

Scherbaum, F., Mueller, M., & Rosenzweig, S. (2017). Rechnergestützte Musikethnologie am Beispiel historischer Aufnahmen mehrstimmiger georgischer Vokalmusik. Submitted to INFORMATIK 2017, Lecture Notes in Informatics (LNI), Gesellschaft Für Informatik, Bonn 2017, 12 pp.  (PDF)

Müller, M., Rosenzweig, S., Driedger, J., & Scherbaum, F. (2017). Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research. Accepted for presentation at the Conference on Semantic Audio, 2017 June 22 – 24, Erlangen, Germany 8 pp. she also: https://www.audiolabs-erlangen.de/resources/MIR/2017-GeorgianMusic-Erkomaishvili.   (PDF)

Kriegerowski M., & F. Scherbaum (2017). Pytch - simultane mehrkanalige Audioanalyse von Gesangstimmen, in Late-breaking Demos of the Workshop: Musik trifft Informatik at 47. Jahrestagung der Gesellschaft für Informatik, 25.-29.9.2017, Chemnitz. See https://github.com/pytchtracking/pytch

2016

Scherbaum, F., Arom, S., & Kane, F. (2016). Graphical comparative analysis of the harmonic structure of the Vl. Akhobadze corpus of Svan songs. 8th International Symposium on Traditional Polyphony, 26–30 Sept, 18 pp.  (PDF)

Kane, F., & Scherbaum, F. (2016). Using body vibrations for teaching, visualization and analysis of traditional Georgian singing. 8th International Symposium on Traditional Polyphony, 26–30 Sept, 11 pp.  (PDF)

Scherbaum, F., Arom, S., & Kane, F. (2016). A graph-theoretical approach to the harmonic analysis of Georgian vocal polyphonic music. Proc. of the 6th International Workshop Folk Music Analysis,15 - 17 June, Dublin/Ireland, 59–60.  (PDF)

Scherbaum, F. (2016). On the benefit of larynx-microphone field recordings for the documentation and analysis of polyphonic vocal music. Proc. of the 6th International Workshop Folk Music Analysis,15 - 17 June, Dublin/Ireland, 80–87.  (PDF)

2015

Scherbaum, F., Arom, S., & Kane, F. (2015). On the feasibility of Markov Model based analysis of Georgian vocal polyphonic music. In Proceedings of the 5th International Workshop on Folk Music Analysis, June 10-12, 2015, University Pierre and Marie Curie, Paris, France (pp. 94–98).  (PDF)

Scherbaum, F., Loos, W., Kane, F., & Vollmer, D. (2015). Body vibrations as source of information for the analysis of polyphonic vocal music. In Proceedings of the 5th International Workshop on Folk Music Analysis, June 10-12, 2015, University Pierre and Marie Curie, Paris, France (Vol. 5, pp. 89–93).  (PDF)