A Wavelet-Based Approach to Pattern Discovery in Melodies

Velarde, Gissel; Meredith, David; Weyde, Tillman

doi:10.1007/978-3-319-25931-4_12

Cited by 8 publications

(11 citation statements)

References 36 publications

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“…First, a logarithmic frequency division corresponds better to our perception in various modalities, in line with the Weber-Fechner law, according to which the just noticeable difference in a stimulus feature is proportional to the initial stimulus. Second, DWT has been used to model various musical activities, including perception of rhythm (Smith & Honing, 2008) and melody (Velarde et al, 2016), as well as movement interaction (Eerola et al, 2018).…”

Section: T He Term Rhythmic Movement Can Be Usedmentioning

confidence: 99%

Embodied Meter Revisited

Toiviainen

Carlson

2022

Music Perception

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Previous research has shown that humans tend to embody musical meter at multiple beat levels during spontaneous dance. This work that been based on identifying typical periodic movement patterns, or eigenmovements, and has relied on time-domain analyses. The current study: 1) presents a novel method of using time-frequency analysis in conjunction with group-level tensor decomposition; 2) compares its results to time-domain analysis, and 3) investigates how the amplitude of eigenmovements depends on musical content and genre. Data comprised three-dimensional motion capture of 72 participants’ spontaneous dance movements to 16 stimuli including eight different genres. Each trial was subjected to a discrete wavelet transform, concatenated into a trial-space-frequency tensor and decomposed using tensor decomposition. Twelve movement primitives, or eigenmovements, were identified, eleven of which were frequency locked with one of four metrical levels. The results suggest that time-frequency decomposition can more efficiently group movement directions together. Furthermore, the employed group-level decomposition allows for a straightforward analysis of interstimulus and interparticipant differences in music-induced movement. Amplitude of eigenmovements was found to depend on the amount of fluctuation in the music in particularly at one- and two-beat levels.

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Section: T He Term Rhythmic Movement Can Be Usedmentioning

confidence: 99%

Embodied Meter Revisited

Toiviainen

Carlson

2022

Music Perception

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“…Since scores are tonality invariant this distance is also diatonic transposition invariant. • MIDI function between two notes is given by the difference of the respective MIDI values but after having subtracted the average MIDI value of each respective segment [26]. This is chromatic transposition invariant.…”

Section: Edges Weightingmentioning

confidence: 99%

Symbolic Music Similarity through a Graph-Based Representation

Simonetta

Carnovalini

Orio

et al. 2018

Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion

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In this work, a novel representation system for symbolic music is described. The proposed representation system is graph-based and could theoretically represent music both from a horizontal (contrapuntal) and from a vertical (harmonic) point of view, by keeping into account contextual and harmonic information. It could also include relationships between internal variations of motifs and themes. This is achieved by gradually simplifying the melodies and generating layers of reductions that include only the most important notes from a structural and harmonic viewpoint. This representation system has been tested in a music information retrieval task, namely melodic similarity, and compared to another system that performs the same task but does not consider any contextual or harmonic information, showing how the structural information is needed in order to find certain relations between musical pieces. Moreover, a new dataset consisting of more than 5000 leadsheets is presented, with additional meta-musical information taken from different web databases, including author, year of first performance, lyrics, genre and stylistic tags. CCS CONCEPTS• Information systems → Music retrieval; • Applied computing → Sound and music computing;

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“…The wavelet coefficients indicate whether there is a contour change at a given moment in the melody, and similarity between two melodies is computed through city block distance of their wavelet coefficients. The method achieved considerable success for pattern discovery (Velarde & Meredith, 2014).…”

Section: Similarity Measures Comparing Abstract Representationsmentioning

confidence: 99%

“…As this paper focuses on similarity of melodic segments rather than whole melodies, recent research in musical pattern discovery is also of particular interest. Two well-performing measures in the associated MIREX challenge of 2014 (Velarde & Meredith, 2014;Meredith, 2014) have shown success when evaluated on the Johannes Keppler University segments Test Database (JKUPDT). 1 We test whether the underlying similarity measures of the pattern discovery methods also perform well in finding occurrences of melodic segments.…”

Section: Introductionmentioning

confidence: 99%

Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures

Janssen

Kranenburg

Volk

2017

Journal of New Music Research

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Much research has been devoted to the classification of folk songs, revealing that variants are recognised based on salient melodic segments, such as phrases and motifs, while other musical material in a melody might vary considerably. In order to judge similarity of melodies on the level of melodic segments, a successful similarity measure is needed which will allow finding occurrences of melodic segments in folk songs reliably. The present study compares several such similarity measures from different music research domains: correlation distance, city block distance, Euclidean distance, local alignment, wavelet transform and structure induction. We evaluate the measures against annotations of phrase occurrences in a corpus of Dutch folk songs, observing whether the measures detect annotated occurrences at the correct positions. Moreover, we investigate the influence of music representation on the success of the various measures, and analyse the robustness of the most successful measures over subsets of the data. Our results reveal that structure induction is a promising approach, but that local alignment and city block distance perform even better when applied to adjusted music representations. These three methods can be combined to find occurrences with increased precision.

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A Wavelet-Based Approach to Pattern Discovery in Melodies

Cited by 8 publications

References 36 publications

Embodied Meter Revisited

Embodied Meter Revisited

Symbolic Music Similarity through a Graph-Based Representation

Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures

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