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Sopele music dataset
Arian Skoki1, Sandi Ljubic1, Jonatan Lerga1
1University of Rijeka, Faculty of Engineering, Department of Computer Engineering, Vukovarska 58, 51000 Rijeka, Croatia.
Data in Brief
|December 25, 2019
Summary
This study introduces a dataset of Croatian sopela (aerophone) sounds and music, enabling the development of automatic music transcription (AMT) for traditional Istrian melodies.
Area of Science:
- Ethnomusicology
- Digital Musicology
- Acoustics
Background:
- The sopela is a traditional Croatian aerophone from Istria, played in pairs (small and great).
- Existing research lacks comprehensive digital datasets for this unique instrument.
Purpose of the Study:
- To create a detailed dataset of sopela audio recordings and associated musical notation.
- To facilitate the development and evaluation of automatic music transcription (AMT) systems for traditional Croatian music.
Main Methods:
- Recording all distinct tones and polyphonic combinations of both small and great sopele in WAV format.
- Creating music sheets in PDF format using Istrian scale notation for traditional melodies.
- Utilizing the dataset for developing, training, and testing an AMT solution.
Main Results:
- A comprehensive dataset comprising audio files (WAV) and corresponding musical scores (PDF) for the sopela.
- Successful application of the data in building and validating an automatic music transcription system.
- Demonstration of the feasibility of digitizing and transcribing traditional Istrian music.
Conclusions:
- The presented dataset provides a valuable resource for ethnomusicological research and computational musicology.
- The developed AMT solution shows promise for the preservation and accessibility of traditional sopela music.
- This work contributes to the digital archiving and analysis of unique cultural musical heritage.
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