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000824484 019__ $$a1013820786$$a1017827942$$a1032282948
000824484 020__ $$a9783319706092$$q(electronic book)
000824484 020__ $$a3319706098$$q(electronic book)
000824484 020__ $$z9783319706085
000824484 020__ $$z331970608X
000824484 0247_ $$a10.1007/978-3-319-70609-2$$2doi
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000824484 049__ $$aISEA
000824484 050_4 $$aML74
000824484 08204 $$a780.285$$223
000824484 1001_ $$aGrekow, Jacek,$$eauthor.
000824484 24510 $$aFrom content-based music emotion recognition to emotion maps of musical pieces /$$cJacek Grekow.
000824484 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018.
000824484 300__ $$a1 online resource (xiv, 138 pages) :$$billustrations.
000824484 336__ $$atext$$btxt$$2rdacontent
000824484 337__ $$acomputer$$bc$$2rdamedia
000824484 338__ $$aonline resource$$bcr$$2rdacarrier
000824484 347__ $$atext file$$bPDF$$2rda
000824484 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 747
000824484 504__ $$aIncludes bibliographical references and index.
000824484 5050_ $$aIntroduction -- Representations of Emotions -- Human Annotation -- MIDI Features -- Hierarchical Emotion Detection in MIDI Files.
000824484 506__ $$aAccess limited to authorized users.
000824484 520__ $$aThe problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.
000824484 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 13, 2017).
000824484 650_0 $$aMusic$$xData processing.
000824484 650_0 $$aMusic$$xPsychological aspects.
000824484 650_0 $$aEmotion recognition.
000824484 77608 $$iPrint version: $$z331970608X$$z9783319706085$$w(OCoLC)1006462688
000824484 830_0 $$aStudies in computational intelligence ;$$vv. 747.$$x1860-949X
000824484 852__ $$bebk
000824484 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-70609-2$$zOnline Access$$91397441.1
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000824484 980__ $$aBIB
000824484 982__ $$aEbook
000824484 983__ $$aOnline
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