Artikel
Optical Music Recognition in der Bayerischen Staatsbibliothek
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.
- Related object and literature
- Subject
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Musik
Optical Music Recognition
Notenerkennung
Melodie-Suche
- Event
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Geistige Schöpfung
- (who)
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Diet, Jürgen
- Event
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Veröffentlichung
- (who)
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De Gruyter
- URN
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urn:nbn:de:bsz:14-qucosa2-364078
- Last update
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14.03.2025, 8:15 AM CET
Data provider
This object is provided by:
Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden. If you have any questions about the object, please contact the data provider.
Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Diet, Jürgen
- De Gruyter
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Betriebsausflüge der Bayerischen Staatsbibliothek
Optical Medieval Music Recognition
Optical Medieval Music Recognition Using Background Knowledge
Optical Graph Recognition
Optical recognition of Chinese characters
The Optical Neume Recognition Project
Artificial perception and music recognition
Optical recognition of modern and Roman coins
Image Recognition Techniques for Optical Head Mounted Displays
Optical Character Recognition - A Combined ANN/HMM Approach
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AI Generated Music Using Speech Emotion Recognition
Betriebsausflüge der Bayerischen Staatsbibliothek
Optical Medieval Music Recognition
Optical Medieval Music Recognition Using Background Knowledge
Optical Graph Recognition
Optical recognition of Chinese characters
The Optical Neume Recognition Project
Artificial perception and music recognition
Optical recognition of modern and Roman coins
Image Recognition Techniques for Optical Head Mounted Displays
Optical Character Recognition - A Combined ANN/HMM Approach
Automatic recognition of texture in Renaissance music
AI Generated Music Using Speech Emotion Recognition