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Music Analysis, Volume 43, Issue 2, Page 247-301, July 2024.ABSTRACT In major‐minor tonality, V implies I, and rising fourths, falling thirds and rising seconds between successive chord roots are more common than falling fourths, rising thirds and falling seconds respectively. Possible explanations involve history (in two‐part medieval counterpoint, harmonic major sixths resolved to octaves – maintained in V–I);
RICHARD PARNCUTT
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Generation of folk song melodies using Bayes transforms [PDF]
, 2011 The paper introduces the `Bayes transform', a mathematical procedure for putting data into a hierarchical representation. Applicable to any type of data, the procedure yields interesting results when applied to sequences. In this case, the representation
Bent I. +27 more
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Sonata Form as Temporal Process: the First Movement of Bruckner's Sixth symphony
Music Analysis, Volume 43, Issue 1, Page 36-76, March 2024.ABSTRACT The timeworn view that Bruckner's sonata form is a motionless architecture devoid of dynamic processes has long contributed his isolation from the mainstream post‐Beethovenian tradition. Taking inspiration from August Halm's (1914) and Ernst Kurth's (1925) approaches, which were aimed at overcoming this view, this article seeks to elucidate ...
SUNBIN KIM
wiley +1 more source
Berlioz, Love, and Béatrice et Bénédict [PDF]
, 2015 Berlioz's final opera, Béatrice et Bénédict (1860–62) has generally been considered a light-hearted work, revelling in the simple joys of love. Yet his final development of the theme of love, which had preoccupied him at least since the Symphonie ...
Harper-Scott, J. P. E.
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Motivo e forma nel terzo movimento della Sonata op. 27 n. 2 [PDF]
, 1996 Schenkerian analysis of Beethoven's Piano Sonata op. 27 n.
Sanguinetti, G
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A Data Set For Computational Studies Of Schenkerian Analysis. [PDF]
, 2014 [TODO] Add abstract here.
openaire +1 more source
An approach to melodic segmentation and classification based on filtering with the Haar wavelet [PDF]
, 2013 We present a novel method of classification and segmentation of melodies in symbolic representation. The method is based on filtering pitch as a signal over time with the Haar-wavelet, and we evaluate it on two tasks. The filtered signal corresponds to a
Berger J. +16 more
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Symbolic Melodic Similarity: State of the Art and Future Challenges [PDF]
, 2016 Fostered by the introduction of the Music Information Retrieval Evaluation eXchange (MIREX) competition, the number of systems which calculate Symbolic Melodic Similarity has recently increased considerably.
Bohak C. +8 more
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SCHUBOT: Machine Learning Tools for the Automated Analysis of Schubert’s Lieder [PDF]
, 2014 This paper compares various methods for automated musical analysis, applying machine learning techniques to gain insight about the Lieder (art songs) of com- poser Franz Schubert (1797-1828).
Nagler, Dylan Jeremy
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