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Textual and Musical Invariants for Searching and Classification of Traditional Music

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Language, Music and Computing (LMAC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 943))

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Abstract

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.

I. Saitanov—Independent Researcher.

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Notes

  1. 1.

    Presumably, instead of searching for consequent notes of melody one can use one of the reduction techniques described in GTTM (see [6]) to identify a basic melody first. And then search for this basic version instead of melody itself. For traditional dance melodies of Macedonia (Greece) this could be a subject for further study.

References

  1. http://www.essex.ac.uk/lin-guis-tics/ex-ter-nal/clmt/w3c/cor-pus_ling/con-tent/cor-po-ra/list/pri-vate/brown/brown.html

  2. 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

  3. Kornilina E., Krofto E.: How the musical search works/Yandex, Moscow (2014). https://events.yandex.ru/lib/talks/1809/

  4. Manning, K., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Williams, Kyiv (2011)

    MATH  Google Scholar 

  5. Mitrovic, D., Zeppelzauer, M., Breiteneder, C.: Features for Content-Based Audio Retrieval, Vienna (2010). http://publik.tuwien.ac.at/files/PubDat–186351.pdf

  6. Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. The MIT Press, Cambridge (1983)

    Google Scholar 

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Correspondence to Ilya Saitanov .

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Appendix: Record’s References

Appendix: Record’s References

References to above-mentioned records

Παπαράτζα – Κυριάκος Γευγελης (Κλαρίνο)

CD 1

Track 08

Παπαραντζα – Τα Χαλκινα Της Γουμενισσας

CD 2

Track 10

Συγκαθιστός του γάμου (Πουσεντνιτσα) – Θανάσης Σέρκος (Κλαρίνο)

CD 3

Track 11

Πουσέτνιτσα – Κυριάκος Γευγελης (Κλαρίνο)

CD 1

Track 07

Έντεκα η Αϊβασιλιάτικος – Χάλκινα Κοζάνης

CD 4

Track 06

Έντεκα – Θανάσης Σέρκος (Κλαρίνο)

CD 3

Track 07

Ραικος – Ψαθάδες

CD 5

Track 16

Τρεχατος – Ψαθάδες

CD 5

Track 22

Τώρα τα πουλιά (Χιτζαζ) – Κυριάκος Γευγελης (Κλαρίνο)

CD 1

Track 09

Οσμάν πασάς – Θανάσης Σέρκος (Κλαρίνο)

CD 3

Track 17

List of CD’s

  1. 1.

    Τα χάλκινα της Γουμένισσας – Ιστορική μουσικολογική προσέγγιση. Γιώργης Μελίκης. 2001.

  2. 2.

    Τα χάλκινα της Γουμένισσας. Θερμαϊκός, Θερ 166.

  3. 3.

    Χοροί της Γουμένισσας και της Κεντρικής Μακεδονίας. Με την κομπανία του Θανάση Σέρκου. Λύκειον των Ελληνίδων. CD A΄ LCGW 111

  4. 4.

    Χάλκινα Κοζάνης, με την κομπανία του Δημήτρη Κώτσικα. Κίνησις 329-2. 2002

  5. 5.

    Μακεδονικοι χοροι με την οικογενεια Ψαθα.

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Saitanov, I. (2019). Textual and Musical Invariants for Searching and Classification of Traditional Music. In: Eismont, P., Mitrenina, O., Pereltsvaig, A. (eds) Language, Music and Computing. LMAC 2017. Communications in Computer and Information Science, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-05594-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-05594-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05593-6

  • Online ISBN: 978-3-030-05594-3

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