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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces: 747 (Studies in Computational Intelligence, 747) - Tapa dura
Libro 259 de 538: Studies in Computational Intelligence
Sinopsis
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."Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
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."Sobre este título" puede pertenecer a otra edición de este libro.
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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces (eng)
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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces (Studies in Computational Intelligence, 747)
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From Content-Based Music Emotion Recognition to Emotion Maps of Musical Pieces
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From Content-Based Music Emotion Recognition to Emotion Maps of Musical Pieces
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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
Publicado por
Springer International Publishing Nov 2017, 2017
ISBN 10: 331970608X
ISBN 13: 9783319706085
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 152 pp. Englisch. Nº de ref. del artículo: 9783319706085
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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
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Springer International Publishing, 2017
ISBN 10: 331970608X
ISBN 13: 9783319706085
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Librería: moluna, Greven, Alemania
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the most important issues in automated systems for music emotion recognition Covers emotion representation, annotation of music excerpts, feature extraction, and machine learning Focuses on presenting content-based analysis of music fil. Nº de ref. del artículo: 174375958
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From Content-Based Music Emotion Recognition to Emotion Maps of Musical Pieces
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From Content-Based Music Emotion Recognition to Emotion Maps of Musical Pieces
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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319706085
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From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
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Springer, Palgrave Macmillan Nov 2017, 2017
ISBN 10: 331970608X
ISBN 13: 9783319706085
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch. Nº de ref. del artículo: 9783319706085
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