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The goal of this research is to determine whether such properties as tonality, mode, meter and tune title remain similar between different versions of the same melody. A variability in some features makes classifying and searching tasks more difficult. The author uses a corpus of traditional dance melodies on audio recordings from Macedonia (Greece), as a base for analysis.
We show that, in general, none of the features – meter, mode, key and tune title – are invariable on their own, for all versions of a selected tune. At the same time, using linguistic features where the musical ones fail, and vice versa, helps to improve the chances of a correct attribution and an efficient search.
It is possible now to use the examples of invariance violations to assess possible search systems for a corpus of musical works.
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Peeters, G.. A large set of audio features for sound description (similarity and classification) in the CUIDADO project/Ircam, Paris (2004). http://recherche.ircam.fr/anasyn/peeters/ARTICLES/Peeters-2003-cuidadoaudiofeatures.pdf
Kornilina E., Krofto E.: How the musical search works/Yandex, Moscow (2014). https://events.yandex.ru/lib/talks/1809/
Manning, K., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Williams, Kyiv (2011) MATH
Mitrovic, D., Zeppelzauer, M., Breiteneder, C.: Features for Content-Based Audio Retrieval, Vienna (2010). http://publik.tuwien.ac.at/files/PubDat–186351.pdf
Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. The MIT Press, Cambridge (1983)
- Textual and Musical Invariants for Searching and Classification of Traditional Music
- Springer International Publishing
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