Music Modeling On Jsb Chorales

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NLL

Parameters

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title
GRU	8.54	-	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Seq-U-Net	8.173	522K	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
TCN	8.154	534K	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
TCN	8.10	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
RNN-RBM	6.27	-	Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
RNN-NADE	5.56	-	Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
CoCoNet	2.22	-	Counterpoint by Convolution
Music Transformer	0.335	-	Music Transformer
TonicNet	0.220	-	Improving Polyphonic Music Models with Feature-Rich Encoding
TonicNet	0.208	-	JS Fake Chorales: a Synthetic Dataset of Polyphonic Music with Human Annotation

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