Music related publications Frank Scherbaum

2020

Mzhavanadze, N. & F. Scherbaum, (2020a). Svan Funeral Dirges (Zär): Cultural context, LaZar Database (https://lazardb.gbv.de) . (PDF)

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

Mzhavanadze, N. & F. Scherbaum (2020c), 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., 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: https://doi.org/10.5334/tismir.48 (PDF)

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 (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)

Scherbaum, F. & Mzhavanadze, N.  (2020a). 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, Nana. (2020b). “Svan Funeral Dirges (Zär): Language-Music Relation and Phonetic Properties”, unpublished manuscript. (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/HerrMuellerluedenscheid/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)