17 citations · 58 across the 11 of their papers we have counts for
13 papers
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…
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…
Probabilistic Generative Adversarial Networks
Hamid Eghbal-zadeh, Gerhard Widmer
We introduce the Probabilistic Generative Adversarial Network (PGAN), a new GAN variant based on a new kind of objective function. The central idea is to integrate a probabilistic…
Piece Identification in Classical Piano Music Without Reference Scores
Andreas Arzt, Gerhard Widmer
In this paper we describe an approach to identify the name of a piece of piano music, based on a short audio excerpt of a performance. Given only a description of the pieces in tex…
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment
Matthias Dorfer, Andreas Arzt, Gerhard Widmer
This work addresses the problem of matching short excerpts of audio with their respective counterparts in sheet music images. We show how to employ neural network-based cross-modal…