46 citations · 57 across the 7 of their papers we have counts for
10 papers
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation
Lukáš Samuel Marták, Rainer Kelz, Gerhard Widmer
This paper describes several improvements to a new method for signal decomposition that we recently formulated under the name of Differentiable Dictionary Search (DDS). The fundame…
Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries
Lukáš Samuel Marták, Rainer Kelz, Gerhard Widmer
We introduce a novel way to incorporate prior information into (semi-) supervised non-negative matrix factorization, which we call differentiable dictionary search. It enables gene…
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…
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks
Rainer Kelz, Gerhard Widmer
We explore a novel way of conceptualising the task of polyphonic music transcription, using so-called invertible neural networks. Invertible models unify both discriminative and ge…
Deep Polyphonic ADSR Piano Note Transcription
Rainer Kelz, Sebastian Böck, Gerhard Widmer
We investigate a late-fusion approach to piano transcription, combined with a strong temporal prior in the form of a handcrafted Hidden Markov Model (HMM). The network architecture…