Statistics of applying support and chord grouping when a piece acts as Song A, i.e., when it provides the melody and the constraints.

Statistics of applying support and chord grouping when a piece acts as Song A, i.e., when it provides the melody and the constraints.

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This paper presents a methodology for generating cross-harmonizations of jazz standards, i.e., for harmonizing the melody of a jazz standard (Song A) with the harmonic context of another (Song B). Specifically, the melody of Song A, along with the chords that start and end its sections (chord constraints), are used as a basis for generating new har...

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... first goal of this part of the analysis is to examine the overall characteristics of applying support and chord grouping as described above. Table 2 analyses the examined attributes for all pieces in average, as well as for the pieces with higher ("Straight, No Chaser") and lower ("Falling in Love with Love") ratios of transitions that came from the support space, over the total number of transitions in the piece. First of all, regarding the average, it appears that support was required in about 42% of the generated chord transitions on average, i.e., an average of 16.12 chords were a result of support transitions on an average number of 38.16 transitions in total, in all cross-harmonization sessions. ...
Context 2
... instance, the piece with the smaller support-over-transitions value ("Falling in Love with Love") has indeed a lower-than-average melody matching mean value (0.19). Correlation analysis is conducted on the values of Table 2 for each generated piece, the number of constraints, support and smoothing applications divided by the total number of transitions to obtain results that are relative to the length of each piece. Table 3 shows the results of this correlation analysis, where melody matching is represented by the mean value of melody matches within each piece. ...

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... This generative combined approach has led to the development of the CHAMELEON melodic harmonization assistant, which has been evaluated by composers of different levels, as an assistive tool for making melodic harmonizations, [33]. Except for that, a similar approach has been examined for the cross-harmonization of jazz standards, [34], where the melody of one song is harmonized with the harmonic space of another song. Similar approaches have been examined for melody and drums rhythm, generation. ...
... melody of one song reharmonized based on the harmony of another), indicated that there are still details in the generative part (i.e. the part that applies chords to the given melody) that need to be corrected. Figure 10 (taken from [34]) shows that in some cross-harmonizations, some produced chords harmonize melodic segments that include notes that are "incompatible" with the chord; identifying those incompatibilities, however, would require the formulation of extensive sets of rules for each chord. It is a future challenge to examine how deep learning models would help toward implicit learning of such rules from data. ...
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