Daniel Schneider M. Sc.

Daniel Schneider
Photo: Daniel Schneider

Research Fellow

Contact information

+49 6421 28-21591 +49 6421 28-21573 daniel.schneider@ 1 Hans-Meerwein-Straße 6
35032 Marburg
H|04 Institutsgebäude (Room: 04C04)

Organizational unit

Philipps-Universität Marburg Mathematik und Informatik (Fb12) Verteilte Systeme

About Me

I started my PhD in 2020 in Prof. Freisleben's group. My research focus is on deep neural networks and the analysis of multimedia data (images, audio, video).

Selected Publications

Automatic Transcription of Organ Tablature Music Notation with Deep Neural Networks

Organ tablature music notation differs considerably in structure and form from the music notation used today. The manual transcription of organ tablature compositions to modern music notation is time-consuming and often prone to errors.

In this paper, we present a deep learning approach to automatically recognize organ tablature notation in scanned documents and transcribe it to modern music notation. Our approach is aimed at generating a uniform transcription that remains as close as possible to the original sheet music and therefore does not perform automatic error correction or musical interpretation.

Daniel Schneider, Nikolaus Korfhage, Markus Mühling, Peter Lüttig, Bernd Freisleben:
Automatic Transcription of Organ Tablature Music Notation with Deep Neural Networks. Transactions of the International Society for Music Information Retrieval, doi: 10.5334/tismir.77, 4(1): 14–28, 2021

All Publications

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