Search Results for author: Junmin Wu

Found 3 papers, 1 papers with code

MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation

1 code implementation8 Sep 2019 Xia Liang, Junmin Wu, Jing Cao

In view of the above problem, this paper proposes a RNN-based Hierarchical Multi-modal Fusion Generation Variational Autoencoder (VAE) network, MIDI-Sandwich2, for multi-track symbolic music generation.

Binarization Music Generation

MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation

no code implementations2 Jul 2019 Xia Liang, Junmin Wu, Yan Yin

The upper layer of HCVAE uses Global Variational Autoencoder(G-VAE) to analyze the latent vector sequence generated by the L-CVAE encoder, to explore the musical relationship between the bars, and to produce the song pieced together by multiple music bars generated by the L-CVAE decoder, which makes the song both have musical structure and sense of direction.

Generative Adversarial Network Music Generation

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