76 citations · 201 across the 3 of their papers we have counts for
3 papers
cs.SD2016★ 66 cited
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…
cs.LG2016★ 76 cited
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…
cs.SD2016★ 59 cited
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…