International Audio Laboratories Erlangen

Erkomaishvili Dataset

This is the accompanying website to the dataset article

1. 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. Bibtex PDF Details Demo DOI

   @article{RosenzweigSSAM20_Erkomaishvili_TISMIR,
   title     = {Erkomaishvili {D}ataset: {A} Curated Corpus of Traditional {G}eorgian Vocal Music for Computational Musicology},
   author    = {Sebastian Rosenzweig and Frank Scherbaum and David Shugliashvili and Vlora Arifi-M{\"u}ller and Meinard M{\"u}ller},
   journal   = {Transactions of the International Society for Music Information Retrieval ({TISMIR})},
   volume    = {3},
   number    = {1},
   year      = {2020},
   pages     = {31--41},
   publisher = {Ubiquity Press},
   doi       = {10.5334/tismir.44},
   url-pdf   = {2020_RosenzweigEtAl_Erkomaishvili_TISMIR_ePrint.pdf},
   url-details  = {https://transactions.ismir.net/articles/10.5334/tismir.44/},
   url-demo  = {https://www.audiolabs-erlangen.de/resources/MIR/2019-GeorgianMusic-Erkomaishvili}
   }

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.

Youtube Videos

Digital Sheet Music

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

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

   @book{Shugliashvili14_GCH,
   author    = {David Shugliashvili},
   title     = {{G}eorgian Church Hymns, {S}hemokmedi {S}chool},
   publisher = {Georgian {C}hanting {F}oundation},
   year      = {2014},
   ismn      = {979-0-802100-71-8}
   }

The book can be purchased here.

Corpus Data (Version 1.0)

If you publish results obtained using these annotations, please cite [1].

Notes

Recordings                               Search: 

Acknowledgments

This work was supported by the German Research Foundation (DFG MU 2686/13-1, SCHE 280/20-1). The International Audio Laboratories Erlangen are a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Fraunhofer Institut für Integrierte Schaltungen IIS. We thank Selina Sonntag, Stefanie Kämmerle and Moritz Berendes for helping us with the annotations. We gratefully acknowledge the support by the Polyphonies Vivantes Association for bringing the transcriptions of Shugliashvili (2014) into digital form and making them available for the current analysis. Furthermore, we like to thank Frank Zalkow, Lukas Dietz, and El Mehdi Lemnaouar for their contributions to the web-interface and Nana Mzhavanadze for her feedback regarding the representation of non-tempered music.