Fr. 135.00

From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces

English · Paperback / Softback

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Description

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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.

List of contents

Introduction.- Representations of Emotions.- Human Annotation.- MIDI Features.- Hierarchical Emotion Detection in MIDI Files.

Summary

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.

Product details

Authors Jacek Grekow
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2018
 
EAN 9783319889689
ISBN 978-3-31-988968-9
No. of pages 138
Dimensions 155 mm x 8 mm x 235 mm
Weight 243 g
Illustrations XIV, 138 p. 71 illus., 22 illus. in color.
Series Studies in Computational Intelligence
Subjects Natural sciences, medicine, IT, technology > Technology > General, dictionaries

B, Emotion, Music, Acoustics, Wellenmechanik (Vibration und Akustik), engineering, Psychology: emotions, Emotions, pattern recognition, Automated Pattern Recognition, Computational Intelligence, Wave mechanics (vibration & acoustics), Engineering Acoustics, Acoustic & sound engineering, Acoustical engineering, Wave mechanics (vibration and acoustics)

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