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Deep Learning Techniques for Music Generation - A Survey (2017.9) [arXiv]
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MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions - ISMIR 2017 (2017.3) [arXiv] [Page] [Code]
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C-RNN-GAN: Continuous Recurrent Neural Networks with Adversarial Training (2016.11) [arXiv] [Code]
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DeepJ: A model for style-specific music generation (2018.1) [arXiv] [Page] [Code-Keras]
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A Classifying Variational Autoencoder with Application to Polyphonic Music Generation (2017.11) [arXiv] [Page] [Code-Keras]
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A hierarchical recurrent variational autoencoder for music (2018.3) [arXiv] [Page] [Code-Tensorflow]
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Multitrack MusicVAE: Interactively Exploring Musical Styles (2018.6) [Page]
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MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks (2017.9) [arXiv] [Page]
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GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures (2017.7) [arXiv]
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient - AAAI 2017 (2016.9) [Paper] [Code]
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Song From PI: A Musically Plausible Network for Pop Music Generation - ICLR 2017 [arXiv]
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Modeling Temporal Dependencies in High-dimensional Sequences: Application to Polyphonic Music Generation and Transcription (2012) [arXiv]
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A Hybrid Convolutional Variational Autoencoder for Text Generation (2017.2) [[arXiv](https:// arXiv:1702.02390)] [Code-Pytorch]
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Generating Sentences from a Continuous Space (2015.11) [arXiv] [Code-Pytorch]
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Improved Variational Autoencoders for Text Modeling using Dilated Convolutions (2017.6) [arXiv] [Code-Pytorch]
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ACM MM - ACM MultiMedia
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ISMIR - The International Society of Music Information Retrieval
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ICASSP - Conference on Acoustics, Speech and Signal Processing
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DLM - Deep Learning for Music Workshop
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CSMC - Conference on Computer Simulation of Musical Creativity
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CCRMA - Center for Computer Research in Music and Acoustics (Stanford University)
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ICMC - Internatonal Computer Music Conference
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TAC - IEEE Transaction on Affective Computing