The Tonal Diffusion Model

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Throughout this thesis, we are interested in modeling music composition. To do so, we study the association of music theory concepts with the learning capabilities of recurrent neural networks. Especially, we explore numerical formalizations of music so th ...

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The Tonal Diffusion Model

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Learning music composition with recurrent neural networks

Motility as a mediating variable in the influence of environmental concern on mobility habits

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music

Modeling and Inferring Proto-Voice Structure in Free Polyphony

The Annotated Mozart Sonatas: Score, Harmony, and Cadence

A Formal Model of Extended Tonal Harmony

Positioning Left-hand Movement in Violin Performance: A System and User Study of Fingering Pattern Generation

Interoception and Empathy Impact Perspective Taking

Improving First-Order Threshold Implementations of SKINNY

The Learnability of the Grammar of Jazz: Bayesian Inference of Hierarchical Structures in Harmony

The Impact of Voice Leading and Harmony on Musical Expectancy