51 citations · 114 across the 24 of their papers we have counts for
6 papers · 1 filter
The ACCompanion v0.1: An Expressive Accompaniment System
Carlos Cancino-Chacón, Martin Bonev, Amaury Durand +5
In this paper we present a preliminary version of the ACCompanion, an expressive accompaniment system for MIDI input. The system uses a probabilistic monophonic score follower to t…
Strategies for Conceptual Change in Convolutional Neural Networks
Maarten Grachten, Carlos Eduardo Cancino Chacón
A remarkable feature of human beings is their capacity for creative behaviour, referring to their ability to react to problems in ways that are novel, surprising, and useful. Trans…
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music
Carlos Cancino-Chacón, Maarten Grachten, David R. W. Sears +1
In this paper we present preliminary work examining the relationship between the formation of expectations and the realization of musical performances, paying particular attention…
Learning Musical Relations using Gated Autoencoders
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Music is usually highly structured and it is still an open question how to design models which can successfully learn to recognize and represent musical structure. A fundamental pr…
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models
Carlos Cancino-Chacón, Maarten Grachten, Kat Agres
Tonal structure is in part conveyed by statistical regularities between musical events, and research has shown that computational models reflect tonal structure in music by capturi…
Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation
Stefan Lattner, Maarten Grachten
Content-invariance in mapping codes learned by GAEs is a useful feature for various relation learning tasks. In this paper we show that the content-invariance of mapping codes for…