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20162025
most citedA Fully Convolutional Deep Auditory Model for Musical Chord Recognition

76 citations · 264 across the 48 of their papers we have counts for

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6 papers · 1 filter

cs.SD201666 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.SD20167 cited

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…

cs.SD20165 cited

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…

cs.SD201659 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…

cs.SD2016

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…

cs.SD201611 cited

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…