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Sprache:
Englisch
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Beschreibung
The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity asks why producing and constructing music is difficult for AI, with an investigation that straddles the technical, the musical, and the aesthetic.
The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity asks why producing and constructing music is difficult for AI, with an investigation that straddles the technical, the musical, and the aesthetic.
Über den Autor
Christopher W. White is Associate Professor of Music Theory at the University of Massachusetts Amherst.
Inhaltsverzeichnis
1. The Problems Facing Musical Artificial Intelligence
2. History, Engineering, and Motivations Behind Generative Musical AI
3. Collecting Examples for Musical Datasets
4. Representing Music to Artificial Intelligence
5. Musical Structure is Hard to Learn
6. Interpreting Musical Artificial Intelligence
Details
| Erscheinungsjahr: | 2025 |
|---|---|
| Fachbereich: | EDV |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Thema: | Lexika |
| Medium: | Taschenbuch |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781032959757 |
| ISBN-10: | 1032959754 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | White, Christopher W. |
| Hersteller: | Routledge |
| Verantwortliche Person für die EU: | Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com |
| Maße: | 229 x 152 x 11 mm |
| Von/Mit: | Christopher W. White |
| Erscheinungsdatum: | 18.06.2025 |
| Gewicht: | 0,295 kg |