Generating Chord Progression from Melody with Flexible Harmonic Rhythm and Controllable Harmonic Density
Shangda Wu, Yue Yang, Zhaowen Wang, Xiaobing Li, Maosong Sun

TL;DR
This paper introduces AutoHarmonizer, a neural system that generates melody harmonizations with flexible harmonic rhythms and controllable harmonic density, addressing limitations of previous models in harmonic rhythm variability and density control.
Contribution
AutoHarmonizer is a novel neural system with an extensive chord vocabulary that enables controllable harmonic density and flexible harmonic rhythms in melody harmonization.
Findings
Generated chord progressions show diverse harmonic rhythms.
System effectively controls harmonic density.
High variety in harmonic patterns achieved.
Abstract
Melody harmonization, which involves generating a chord progression that complements a user-provided melody, continues to pose a significant challenge. A chord progression must not only be in harmony with the melody, but also interdependent on its rhythmic pattern. While previous neural network-based systems have been successful in producing chord progressions for given melodies, they have not adequately addressed controllable melody harmonization, nor have they focused on generating harmonic rhythms with flexibility in the rates or patterns of chord changes. This paper presents AutoHarmonizer, a novel system for harmonic density-controllable melody harmonization with such a flexible harmonic rhythm. AutoHarmonizer is equipped with an extensive vocabulary of 1,462 chord types and can generate chord progressions that vary in harmonic density for a given melody. Experimental results…
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Taxonomy
TopicsMusic and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception
