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Record Nr. |
UNICAMPANIAVAN0039091 |
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Titolo |
2: L'impero romano fra storia generale e storia locale / a cura di E. Gabba e K. Christ |
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Pubbl/distr/stampa |
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Descrizione fisica |
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341 p., [4] c. di tav. : ill. ; 24 cm. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNIORUON00214187 |
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Autore |
SOETEMAN, C. |
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Titolo |
Deutsche geistliche Dichtung des 11. und 12. Jahrhunderts / C. Soeteman |
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Pubbl/distr/stampa |
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Stuttgart, : J. B. Metzlersche Verlagsbuchhandlung, 1971 |
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ISBN |
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Edizione |
[2.] |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Letteratura tedesca - Sec. 11.-12 |
POESIA TEDESCA SEC XI-XII |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910299960303321 |
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Autore |
Grekow Jacek |
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Titolo |
From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces / / by Jacek Grekow |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIV, 138 p. 71 illus., 22 illus. in color.) |
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Collana |
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Studies in Computational Intelligence, , 1860-949X ; ; 747 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Music |
Acoustical engineering |
Emotions |
Pattern perception |
Acoustics |
Computational Intelligence |
Engineering Acoustics |
Emotion |
Pattern Recognition |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Representations of Emotions -- Human Annotation -- MIDI Features -- Hierarchical Emotion Detection in MIDI Files. |
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Sommario/riassunto |
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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 |
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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. |
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