Skip to Main content Skip to Navigation

Apprentissage de structures musicales en contexte d'improvisation

Ken Déguernel 1 
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Current musical improvisation systems are able to generate unidimensional musical sequences by recombining their musical contents. However, considering several dimensions (melody, harmony...) and several temporal levels are difficult issues. In this thesis, we propose to combine probabilistic approaches with formal language theory in order to better assess the complexity of a musical discourse, both from a multidimensional and multi-level point of view in the context of improvisation where the amount of data is limited. First, we present a system able to follow the contextual logic of an improvisation modelled by a factor oracle whilst enriching its musical discourse with multidimensional knowledge represented by interpolated probabilistic models. Then, this work is extended to create another system using a belief propagation algorithm representing the interaction between several musicians, or between several dimensions, in order to generate multidimensional improvisations. Finally, we propose a system able to improvise on a temporal scenario with multi-level information modelled with a hierarchical grammar. We also propose a learning method for the automatic analysis of hierarchical temporal structures. Every system is evaluated by professional musicians and improvisers during listening sessions
Complete list of metadata

Cited literature [172 references]  Display  Hide  Download
Contributor : ABES STAR :  Contact
Submitted on : Thursday, March 15, 2018 - 5:12:08 PM
Last modification on : Wednesday, February 2, 2022 - 3:55:06 PM
Long-term archiving on: : Monday, September 10, 2018 - 11:54:06 PM


Version validated by the jury (STAR)


  • HAL Id : tel-01735308, version 1


Ken Déguernel. Apprentissage de structures musicales en contexte d'improvisation. Intelligence artificielle [cs.AI]. Université de Lorraine, 2018. Français. ⟨NNT : 2018LORR0011⟩. ⟨tel-01735308⟩



Record views


Files downloads