Jun 26, 2023 · Empirical study on four typical music understanding tasks shows that our attribute fusion approach and RoAR position encoding brings large ...
Therefore, in this work, we propose an improved compound Transformer model for music un- derstanding. Specifically, we propose an attribute embedding fusion ...
Feb 7, 2023 · Fine-grained position helps memorizing more, a novel music compound transformer model with feature interaction fusion. Pages 5203 - 5212 ...
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Feb 9, 2023 · Fine-grained Position Helps Memorizing More, A Novel Music Compound Transformer Model with Feature Interaction Fusion. bookmark
Fine-grained position helps memorizing more, a novel music compound transformer model with feature interaction fusion ... Bidirectional looking with a novel ...
Fine-grained Position Helps Memorizing More, A Novel Music Compound Transformer Model with Feature Interaction Fusion. Date: Hits: Journal: AAAI.
Fine-grained Position Helps Memorizing More, A Novel Music Compound Transformer Model with Feature Interaction Fusion [PDF] [Code] Zuchao Li, Ruhang Gong ...
Therefore, in this work, we propose an improved compound Transformer model for music understanding. Specifically, we propose an attribute embedding fusion ...
This paper proposes a novel method, NG-Midiformer, for understanding symbolic music sequences that leverages the N-gram approach, which involves first ...
Fine-grained position helps memorizing more, a novel music compound transformer model with feature interaction fusion · Zuchao Li · Ruhan Gong · Yineng Chen · Kehua ...