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.
Highlights
Ethnomusicological research is usually conducted on the basis of notated musical scores, which are obtained by manually transcribing the audio material
The known publicly available audio material is rather limited. This is true despite the fact that there have been considerable efforts to record traditional Georgian vocal music, starting with phonograph recordings more than 100 years ago
In this paper, we presented a carefully organized, manually annotated, and publicly available dataset of traditional Georgian vocal music
Summary
With the goal to contribute to the preservation of the Georgian cultural heritage and to support research on Georgian vocal music, we have created a manually annotated dataset of traditional three-voice Georgian songs. A recently released research corpus of traditional Georgian vocal music (Scherbaum et al, 2019) meets all the quality criteria for computational analysis and allows for a systematic investigation of more than 200 performances. The known publicly available audio material is rather limited This is true despite the fact that there have been considerable efforts to record traditional Georgian vocal music, starting with phonograph recordings more than 100 years ago. Since the publicly available audio collection comprises only 101 recordings, the Erkomaishvili dataset does not contain data for the following GCH-IDs: 021, 028, 037, 038, 039, 055, 064, 075, 082, 084, 096, 117, 118. We use the song “Da Sulisatsa” (GCH-ID 087) as a running example
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