Melodic Contour Typology

Adams, Charles R.

doi:10.2307/851015

Cited by 76 publications

(32 citation statements)

References 14 publications

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“…In [12] Adams proposes to categorise melodic segments based on the "distinctive relationship among their minimal boundaries". By categorising the possible relationship between a segment's initial (I), final (F), highest (H) and lowest (L) pitch, 15 "contour types" are defined.…”

Section: Contour Typologymentioning

confidence: 99%

Musical genre classification using melody features extracted from polyphonic music signals

Rocha

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We present a new method for musical genre classification based on high-level melodic features that are extracted directly from the audio signal of polyphonic music. The features are obtained through the automatic characterisation of pitch contours describing the predominant melodic line, extracted using a state-of-the-art audio melody extraction algorithm. Using standard machine learning algorithms the melodic features are used to classify excerpts into five different musical genres. We obtain a classification accuracy above 90% for a collection of 500 excerpts, demonstrating that successful classification can be achieved using high-level melodic features that are more meaningful to humans compared to low-level features commonly used for this task. We also compare our method to a baseline approach using low-level timbre features, and study the effect of combining these low-level features with our high-level melodic features. The results demonstrate that complementing low-level features with high-level melodic features is a promising approach.

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Section: Contour Typologymentioning

confidence: 99%

Musical genre classification using melody features extracted from polyphonic music signals

Rocha

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Shape, for example, is more generally used for referring to overall melodic phrases. Adams uses the terms contour and shape interchangeably [23] and also adds melodic configuration and outline to the mix of descriptors. Tierney et al discuss the biological origins and commonalities of melodic shape [24].…”

Section: Melodic Contourmentioning

confidence: 99%

“…Similar to how we might whistle a short melodic excerpt to refer to a larger musical piece, melodic dictionaries have been created to index musical pieces [26]. Such indexes merit a thorough analysis of contour typologies, and several contour typologies were created to this end [23,27,28]. Contour typology methods are often developed from symbolic representations and notated as discrete pitch items.…”

Section: Analyzing Melodic Contourmentioning

confidence: 99%

“…Contour typology methods are often developed from symbolic representations and notated as discrete pitch items. Adam's method for contour typology analysis, for example, codes the initial and final pitches of the melodies as numbers [23]. Parson's typology, on the other hand, uses note directions and their intervals as the units of analysis [26].…”

Section: Analyzing Melodic Contourmentioning

confidence: 99%

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Analyzing Free-Hand Sound-Tracings of Melodic Phrases

Kelkar

Jensenius

2018

Applied Sciences

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Abstract:In this paper, we report on a free-hand motion capture study in which 32 participants 'traced' 16 melodic vocal phrases with their hands in the air in two experimental conditions. Melodic contours are often thought of as correlated with vertical movement (up and down) in time, and this was also our initial expectation. We did find an arch shape for most of the tracings, although this did not correspond directly to the melodic contours. Furthermore, representation of pitch in the vertical dimension was but one of a diverse range of movement strategies used to trace the melodies. Six different mapping strategies were observed, and these strategies have been quantified and statistically tested. The conclusion is that metaphorical representation is much more common than a 'graph-like' rendering for such a melodic sound-tracing task. Other findings include a clear gender difference for some of the tracing strategies and an unexpected representation of melodies in terms of a small object for some of the Hindustani music examples. The data also show a tendency of participants moving within a shared 'social box'.

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“…Boundary pitches [15] allow the shape of a pattern to be accurately specified from point to point-a useful framework for contour design. This use of boundary pitches also suggests benefits when seeking to create a set of patterns as individual from each other as possible (Figure 1).…”

Section: B) Boundary Pitchesmentioning

confidence: 99%