66 citations · 152 across the 12 of their papers we have counts for
3 papers · 1 filter
Learning to Read and Follow Music in Complete Score Sheet Images
Florian Henkel, Rainer Kelz, Gerhard Widmer
This paper addresses the task of score following in sheet music given as unprocessed images. While existing work either relies on OMR software to obtain a computer-readable score r…
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
Florian Henkel, Rainer Kelz, Gerhard Widmer
The goal of score following is to track a musical performance, usually in the form of audio, in a corresponding score representation. Established methods mainly rely on computer-re…
Deep Linear Discriminant Analysis
Matthias Dorfer, Rainer Kelz, Gerhard Widmer
We introduce Deep Linear Discriminant Analysis (DeepLDA) which learns linearly separable latent representations in an end-to-end fashion. Classic LDA extracts features which preser…