Deep Composer Classification Using Symbolic Representation

In this study, we train deep neural networks to classify composer on a symbolic domain. The model takes a two-channel two-dimensional input, i.e., onset and note activations of time-pitch representation, which is converted from MIDI recordings and performs a single-label classification. On the exper...

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Bibliographische Detailangaben

Hauptverfasser:	Kim, Sunghyeon, Lee, Hyeyoon, Park, Sunjong, Lee, Jinho, Choi, Keunwoo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Sound
Online-Zugang:	Volltext bestellen
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