Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology

Abstract

The analysis of recorded audio material using computational methods has received increased attention in ethnomusicological research. We present a curated dataset of traditional Georgian vocal music for computational musicology. The corpus is based on historic tape recordings of three-voice Georgian songs performed by the the former master chanter Artem Erkomaishvili. In this article, we give a detailed overview on the audio material, transcriptions, and annotations contained in the dataset. Beyond its importance for ethnomusicological research, this carefully organized and annotated corpus constitutes a challenging scenario for music information retrieval tasks such as fundamental frequency estimation, onset detection, and score-to-audio alignment. The corpus is publicly available and accessible through score-following web-players.

License

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

Copyright of Audio (wav)

Ministry of Culture, Sports and Youth of Georgia
Legal Entity of Public Law
Vano Sarajishvili Tbilisi State Conservatoire (TSC)
8-10, GRIBOEDOV St, TBILISI 0108, GEORGIA Tel. / fax :(+995 32) 2 999 144,
www.tsc.edu.ge E-mail: info@tsc.edu.ge; inter@tsc.edu.ge

We thank the rector of TSC, Nana Sharikadze, for the permission to publish the recordings along with our annotations on Zenodo.

Copyright of Annotations (csv)

Sebastian Rosenzweig^1, Frank Scherbaum^2, David Shugliashvili^3, Vlora Arifi-Müller^1, and Meinard Müller^1
^1: International Audio Laboratories Erlangen, Germany
^2: University of Potsdam, Germany
^3: Tbilisi State Conservatoire, Georgia

The provided digital sheet music in MusicXML-format is based on the transcriptions by David Shugliashvili as published in the book:

David Shugliashvili
Georgian Church Hymns, Shemokmedi School
Georgian Chanting Foundation, 2014.

References

If you use the Erkomaishvili dataset in your research, please cite:

Sebastian Rosenzweig, Frank Scherbaum, David Shugliashvili, Vlora Arifi-Müller, and Meinard Müller
Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology
Transactions of the International Society for Music Information Retrieval (TISMIR), 3(1): 31–41, 2020.