76 citations · 264 across the 48 of their papers we have counts for
6 papers · 1 filter
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…
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 computer-assisted understanding of dynamics in symphonic music
Maarten Grachten, Carlos Eduardo Cancino-Chacón, Thassilo Gadermaier +1
Many people enjoy classical symphonic music. Its diverse instrumentation makes for a rich listening experience. This diversity adds to the conductor's expressive freedom to shape t…
Getting Closer to the Essence of Music: The Con Espressione Manifesto
Gerhard Widmer
This text offers a personal and very subjective view on the current situation of Music Information Research (MIR). Motivated by the desire to build systems with a somewhat deeper u…