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Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 10th International C Juan Romero,Tiago Martins,Nereida Rodríguez-Fernán Conference

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31#
發(fā)表于 2025-3-26 22:18:56 | 只看該作者
32#
發(fā)表于 2025-3-27 02:40:18 | 只看該作者
Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied Artworks is how to automatically please any audience without too much involvement of the said audience in the process of creation. Two-dimensional pictures have received a lot of attention however, 3D artwork has remained relatively unexplored. This paper introduces the Axial Generation Process (AGP), a ver
33#
發(fā)表于 2025-3-27 07:30:50 | 只看該作者
34#
發(fā)表于 2025-3-27 12:30:51 | 只看該作者
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發(fā)表于 2025-3-27 15:59:06 | 只看該作者
36#
發(fā)表于 2025-3-27 18:07:10 | 只看該作者
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist At we expand those approaches by investigating ., which we apply in two case studies to address two key questions: (1) what musical information do chord embeddings capture?; and (2) how might musical applications benefit from them? In our analysis, we show that they capture similarities between chords
37#
發(fā)表于 2025-3-27 22:28:49 | 只看該作者
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發(fā)表于 2025-3-28 03:12:59 | 只看該作者
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發(fā)表于 2025-3-28 08:01:56 | 只看該作者
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發(fā)表于 2025-3-28 13:22:53 | 只看該作者
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