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

Rosenzweig S, Scherbaum F, Shugliashvili D, Arifi-Müller V, Müller M (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Transactions of the International Society for Music Information Retrieval ISMIR

Publisher: ubiquity press

City/Town: London

Book Volume: 3

Pages Range: 31-41

Issue: 1

DOI: 10.5334/tismir.44

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 of 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.

Authors with CRIS profile

Sebastian Rosenzweig International Audio Laboratories Erlangen (AudioLabs) Vlora Arifi-Müller Lehrstuhl für Audiosignalanalyse (AudioLabs) (Stiftungslehrstuhl) Meinard Müller International Audio Laboratories Erlangen (AudioLabs)

Involved external institutions

Tbilisi State Conservatoire GE Georgia (GE) Universität Potsdam DE Germany (DE)

How to cite

APA:

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, 31-41. https://doi.org/10.5334/tismir.44

MLA:

Rosenzweig, Sebastian, et al. "Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology." Transactions of the International Society for Music Information Retrieval 3 (2020): 31-41.

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