Buch, Englisch, Band 747, 138 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g
Buch, Englisch, Band 747, 138 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-319-88968-9
Verlag: Springer International Publishing
The problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files.
In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.
Grekow
From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces jetzt bestellen!
In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Naturwissenschaften Physik Mechanik Akustik, Schwingungsanalyse
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik
- Geisteswissenschaften Musikwissenschaft Musikwissenschaft Allgemein
- Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie Emotion, Motivation, Handlung
Weitere Infos & Material
Introduction.- Representations of Emotions.- Human Annotation.- MIDI Features.- Hierarchical Emotion Detection in MIDI Files.
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