| 000 | 02590nam a22003375i 4500 | ||
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| 001 | 102883 | ||
| 003 | DE-He213 | ||
| 005 | 20230102113104.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171104s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319706092 | ||
| 024 | 7 |
_a10.1007/978-3-319-70609-2 _2doi |
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| 040 |
_aES-MaUEC _bspa |
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| 050 | 4 |
_aML74 _b.G745 2018 EB |
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| 100 | 1 |
_aGrekow, Jacek _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/302749078/ |
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| 245 | 1 | 0 |
_aFrom Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces _cby Jacek Grekow. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
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| 300 | _a1 recurso en línea (XIV, 138 páginas 71 ilustraciones, 22 ilustraciones a color) | ||
| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v747 |
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| 505 | 0 | _aIntroduction -- Representations of Emotions -- Human Annotation -- MIDI Features -- Hierarchical Emotion Detection in MIDI Files. | |
| 520 | 3 | _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. | |
| 650 | 7 |
_aMúsica por ordenador _2embne _9141144 |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783319706085 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319706108 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319889689 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-70609-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aEngineering (Springer-11647) | |
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_b02/2019 _dz _ek _feng _ggw _h0 |
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| 999 |
_c102883 _d102883 _x1 |
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