Die Bayerische Staatsbibliothek hat im Sommer 2016 ein Projekt zur automatischen Notenerkennung (Optical Music Recognition, OMR) gestartet. Dieser Beitrag beschreibt zunächst die Funktionsweise und die Qualität von OMR-Programmen und geht dann auf die bisherigen Erfahrungen der Bayerischen Staatsbibliothek mit OMR ein. Anschließend werden die Anwendungsszenarien skizziert, die die Bayerische Staatsbibliothek aufsetzend auf den OMR-Daten entwickeln wird.In the summer of 2016, the Bavarian State Library has started a project on optical music recognition (OMR). This paper first describes the functionality and quality of OMR-programs and then depicts the OMR-experiences of the Bavarian State Library. Finally, the use case scenarios are outlined...
Abstract For centuries, music has been shared and remem-bered by two traditions: aural transmission ...
The aim of Optical Music Recognition (OMR) is to convert optically scanned pages of music into a ver...
Summarization: As stated on Gerd Castan’s page about OMR, “Doing OMR is hard. Very hard. I...
Die Bayerische Staatsbibliothek hat im Sommer 2016 ein Projekt zur automatischen Notenerkennung (Opt...
Optical music recognition (OMR) is a technology that can transform large quantities of music documen...
Large quantities of scanned music are now available in public digital music libraries. However, the ...
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable f...
Das Optical Neume Recognition Project (ONRP) hat die digitale Kodierung von musikalischen Notationsz...
Tämän opinnäytetyön tavoitteena on luoda yleiskuva OMR:stä (Optical Music Recognition) sekä käsitell...
For over 50 years, researchers have been trying to teach computers to read music notation, referred ...
Optical Music Recognition (OMR) is the process of automatically processing and understanding an imag...
Optical music recognition (OMR ) describes the process of automatically transcribing music notation ...
Current software for Optical Music Recognition (OMR) produces outputs with too many errors that rend...
The Early Music Online (EMO) collection consists of about 300 printed music books of the sixteenth c...
Abstract For centuries, music has been shared and remem-bered by two traditions: aural transmission ...
Abstract For centuries, music has been shared and remem-bered by two traditions: aural transmission ...
The aim of Optical Music Recognition (OMR) is to convert optically scanned pages of music into a ver...
Summarization: As stated on Gerd Castan’s page about OMR, “Doing OMR is hard. Very hard. I...
Die Bayerische Staatsbibliothek hat im Sommer 2016 ein Projekt zur automatischen Notenerkennung (Opt...
Optical music recognition (OMR) is a technology that can transform large quantities of music documen...
Large quantities of scanned music are now available in public digital music libraries. However, the ...
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable f...
Das Optical Neume Recognition Project (ONRP) hat die digitale Kodierung von musikalischen Notationsz...
Tämän opinnäytetyön tavoitteena on luoda yleiskuva OMR:stä (Optical Music Recognition) sekä käsitell...
For over 50 years, researchers have been trying to teach computers to read music notation, referred ...
Optical Music Recognition (OMR) is the process of automatically processing and understanding an imag...
Optical music recognition (OMR ) describes the process of automatically transcribing music notation ...
Current software for Optical Music Recognition (OMR) produces outputs with too many errors that rend...
The Early Music Online (EMO) collection consists of about 300 printed music books of the sixteenth c...
Abstract For centuries, music has been shared and remem-bered by two traditions: aural transmission ...
Abstract For centuries, music has been shared and remem-bered by two traditions: aural transmission ...
The aim of Optical Music Recognition (OMR) is to convert optically scanned pages of music into a ver...
Summarization: As stated on Gerd Castan’s page about OMR, “Doing OMR is hard. Very hard. I...