From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces
Grekow, Jacek
From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces by Jacek Grekow. - 1 recurso en línea (XIV, 138 páginas 71 ilustraciones, 22 ilustraciones a color) - Studies in Computational Intelligence 747 1860-949X Engineering (Springer-11647) .
Introduction -- Representations of Emotions -- Human Annotation -- MIDI Features -- Hierarchical Emotion Detection in MIDI Files.
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.
9783319706092
10.1007/978-3-319-70609-2 doi
Música por ordenador
ML74 / .G745 2018 EB
From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces by Jacek Grekow. - 1 recurso en línea (XIV, 138 páginas 71 ilustraciones, 22 ilustraciones a color) - Studies in Computational Intelligence 747 1860-949X Engineering (Springer-11647) .
Introduction -- Representations of Emotions -- Human Annotation -- MIDI Features -- Hierarchical Emotion Detection in MIDI Files.
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.
9783319706092
10.1007/978-3-319-70609-2 doi
Música por ordenador
ML74 / .G745 2018 EB