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Towards an efficient deep learning model for musical onset detection
[article]
2018
arXiv
pre-print
In this paper, we propose an efficient and reproducible deep learning model for musical onset detection (MOD). We first review the state-of-the-art deep learning models for MOD, and identify their shortcomings and challenges: (i) the lack of hyper-parameter tuning details, (ii) the non-availability of code for training models on other datasets, and (iii) ignoring the network capability when comparing different architectures. Taking the above issues into account, we experiment with seven deep
arXiv:1806.06773v2
fatcat:4d36evxcwbcdxcgity5eas5umi