221 citations · 1k across the 103 of their papers we have counts for
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On the Potential of Simple Framewise Approaches to Piano Transcription
Rainer Kelz, Matthias Dorfer, Filip Korzeniowski +3
In an attempt at exploring the limitations of simple approaches to the task of piano transcription (as usually defined in MIR), we conduct an in-depth analysis of neural network-ba…
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
Filip Korzeniowski, Gerhard Widmer
Chord recognition systems depend on robust feature extraction pipelines. While these pipelines are traditionally hand-crafted, recent advances in end-to-end machine learning have b…
Live Score Following on Sheet Music Images
Matthias Dorfer, Andreas Arzt, Sebastian Böck +2
In this demo we show a novel approach to score following. Instead of relying on some symbolic representation, we are using a multi-modal convolutional neural network to match the i…
Towards End-to-End Audio-Sheet-Music Retrieval
Matthias Dorfer, Andreas Arzt, Gerhard Widmer
This paper demonstrates the feasibility of learning to retrieve short snippets of sheet music (images) when given a short query excerpt of music (audio) -- and vice versa --, witho…
Feature Learning for Chord Recognition: The Deep Chroma Extractor
Filip Korzeniowski, Gerhard Widmer
We explore frame-level audio feature learning for chord recognition using artificial neural networks. We present the argument that chroma vectors potentially hold enough informatio…
Towards Score Following in Sheet Music Images
Matthias Dorfer, Andreas Arzt, Gerhard Widmer
This paper addresses the matching of short music audio snippets to the corresponding pixel location in images of sheet music. A system is presented that simultaneously learns to re…