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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces / / by Jacek Grekow



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Autore: Grekow Jacek Visualizza persona
Titolo: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces / / by Jacek Grekow Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XIV, 138 p. 71 illus., 22 illus. in color.)
Disciplina: 780.285
Soggetto topico: Computational intelligence
Music
Acoustical engineering
Emotions
Pattern recognition
Acoustics
Computational Intelligence
Engineering Acoustics
Emotion
Pattern Recognition
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Introduction -- Representations of Emotions -- Human Annotation -- MIDI Features -- Hierarchical Emotion Detection in MIDI Files.
Sommario/riassunto: 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.
Titolo autorizzato: From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces  Visualizza cluster
ISBN: 3-319-70609-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299960303321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Computational Intelligence, . 1860-949X ; ; 747