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Analysis and recognition of music scores
Alicia Fornés
,
Gemma Sánchez
Department of Computer Science
Research output
:
Chapter in Book
›
Chapter
›
Research
›
peer-review
12
Citations (Scopus)
Overview
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Computer Science
Field Research
100%
Extract Information
100%
Textual Information
100%
Graphics Recognition
100%
Online Approach
100%
Image Analysis
100%
document image
100%
Context Information
100%
Graphical Information
100%
Keyphrases
Music Score
100%
Optical music Recognition
60%
Music Theory
20%
Textual Information
20%
Syntactic Analysis
20%
Extracting Information
20%
Commercial Systems
20%
Handwritten music Scores
20%
Document Image Analysis
20%
Contextual Information
20%
Text Recognition
20%
Graphic Text
20%
Graphical Information
20%
Graphics Recognition
20%
Staff Removal
20%
Online Approach
20%
Recognition Analysis
20%
Score Use
20%
Music Symbol Recognition
20%
Approach System
20%
Document Image Recognition
20%
Diagrammatic Notation
20%
Arts and Humanities
Music Scores
100%
Optics
50%
Online
16%
Music theory
16%
London
16%
Technique
16%
Personnel
16%
Field Research
16%
Diagrammatic notation
16%
Biochemistry, Genetics and Molecular Biology
Optics
100%
Nursing and Health Professions
Image Analysis
100%