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Neural Networks in Music Generation

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01424-7_14openalex-extracted
Towards End-to-End Raw Audio Music Synthesis
inferredcites →https://doi.org/10.1007/978-3-319-55750-2_9openalex-extracted
Generating Polyphonic Music Using Tied Parallel Networks
inferredcites →https://doi.org/10.1007/s11269-021-02899-zopenalex-extracted
Modeling Long-term Groundwater Levels By Exploring Deep Bidirectional Long Short-Term Memory using Hydro-climatic Data
inferredcites →https://doi.org/10.1016/j.eswa.2022.118190openalex-extracted
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
inferredcites →https://doi.org/10.1016/j.physd.2019.132306openalex-extracted
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
inferredcites →https://doi.org/10.1016/j.physrep.2019.03.001openalex-extracted
A high-bias, low-variance introduction to Machine Learning for physicists
inferredcites →https://doi.org/10.1016/j.procs.2017.12.087openalex-extracted
Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters
inferredcites →https://doi.org/10.1016/s0167-2789(97)82009-xopenalex-extracted
Nonlinear modelling and prediction with feedforward and recurrent networks
inferredcites →https://doi.org/10.1088/1742-6596/1693/1/012142openalex-extracted
Symbol-Based End-to-End Raw Audio Music Generation
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-extracted
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1145/1357054openalex-extracted
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3394171openalex-extracted
Proceedings of the 28th ACM International Conference on Multimedia
inferredcites →https://doi.org/10.1609/aaai.v35i1.16117openalex-extracted
Symbolic Music Generation with Transformer-GANs
inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-extracted
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
inferredcites →https://doi.org/10.17148/iarjset.2019.6508openalex-extracted
LSTM Based Music Generation System
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-extracted
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.3390/math9040387openalex-extracted
INCO-GAN: Variable-Length Music Generation Method Based on Inception Model-Based Conditional GAN
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-extracted
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1611.09904openalex-extracted
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
inferredcites →https://doi.org/10.48550/arxiv.1803.05428openalex-extracted
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
inferredcites →https://doi.org/10.48550/arxiv.1809.07600openalex-extracted
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
inferredcites →https://doi.org/10.48550/arxiv.2003.07000openalex-extracted
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.2012.07436openalex-extracted
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