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Music Modeling On Jsb Chorales

Metriken

NLL

Parameters

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

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

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