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Generating Equivalent Chord Progressions to Enrich Guided Improvisation : Application to Rhythm Changes

Ken Déguernel 1, 2 Jérôme Nika 2 Emmanuel Vincent 1 Gérard Assayag 2 
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 Repmus - Représentations musicales
STMS - Sciences et Technologies de la Musique et du Son
Abstract : This paper presents a method taking into account the form of a tune upon several levels of organisation to guide music generation processes to match this structure. We first show how a phrase structure grammar can represent a hierarchical analysis of chord progressions and be used to create multi-level progressions. We then explain how to exploit this multi-level structure of a tune for music generation and how it enriches the possibilities of guided machine improvisation. We illustrate our method on a prominent jazz chord progression called 'rhythm changes'. After creating a phrase structure grammar for 'rhythm changes' with a professional musician, the terminals of this grammar are automatically learnt on a corpus. Then, we generate melodic improvisations guided by multi-level progressions created by the grammar. The results show the potential of our method to ensure the consistency of the improvisation regarding the global form of the tune, and how the knowledge of a corpus of chord progressions sharing the same hierarchical organisation can extend the possibilities of music generation.
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Submitted on : Monday, May 29, 2017 - 11:49:50 AM
Last modification on : Friday, May 6, 2022 - 4:26:02 PM
Long-term archiving on: : Wednesday, September 6, 2017 - 10:44:17 AM


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Distributed under a Creative Commons Attribution 4.0 International License


  • HAL Id : hal-01528559, version 1


Ken Déguernel, Jérôme Nika, Emmanuel Vincent, Gérard Assayag. Generating Equivalent Chord Progressions to Enrich Guided Improvisation : Application to Rhythm Changes. SMC 2017 - 14th Sound and Music Computing Conference, Jul 2017, Espoo, Finland. pp.8. ⟨hal-01528559⟩



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