Deep learning for music generation: challenges and directions
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Summary
Some limitations of a direct application of deep learning to music generation are selected and why the issues are not fulfilled and how to address them by possible approaches are analyzed.
- Type
- article
- Published
- 2017-12-09
- Cited by
- 172
- References
- 76
- Access
- Open access
- OpenAlex
- https://openalex.org/W2775487773
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:195240152
Keywords
Deep learning, Set (abstract data type), Focus (optics), Interactivity, Deep neural networks
References
- A First Look at Music Composition using LSTM Recurrent Neural Networks
- The Algorithmic Composer
- Algorithmic Composition: Paradigms of Automated Music Generation
- Intriguing properties of neural networks
- Playing Atari with Deep Reinforcement Learning
- Generating Sequences With Recurrent Neural Networks
- A Neural Algorithm of Artistic Style
- Auto-Encoding Variational Bayes
- A Generative Grammar for Jazz Chord Sequences
- Long Short-Term Memory
- The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction
- Generative Adversarial Nets
- AI Methods in Algorithmic Composition: A Comprehensive Survey
- Reverse correlation in neurophysiology
- Reinforcement Learning: A Survey
- Training Products of Experts by Minimizing Contrastive Divergence
- Building high-level features using large scale unsupervised learning
- Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation
- A Fast Learning Algorithm for Deep Belief Nets
- Markov constraints: steerable generation of Markov sequences
Cited by
- Deep Learning Techniques for Music Generation - A Survey
- A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement
- Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning
- Smart Edition of MIDI Files
- Conditional LSTM-GAN for Melody Generation from Lyrics
- Learning to Traverse Latent Spaces for Musical Score Inpainting
- LSTM Based Music Generation
- Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
- Learning Interpretable Representation for Controllable Polyphonic Music Generation
- Usage of Deep Learning and Blockchain in Compilation and Copyright Protection of Digital Music
- Deep learning in electron microscopy
- From artificial neural networks to deep learning for music generation: history, concepts and trends
- Advances in Electron Microscopy with Deep Learning
- Latent Timbre Synthesis
- Story Creation Algorithm Using Q- Learning in a 2D Action RPG Video Game
- Traffic Noise Prediction Applying Multivariate Bi-Directional Recurrent Neural Network
- Analisa Perkembangan Musik Pada Spotify Menggunakan Structured Query Language (SQL)
- GANSpaceSynth: A Hybrid Generative Adversarial Network Architecture for Organising the Latent Space using a Dimensionality Reduction for Real-Time Audio Synthesis
- Generate Xi’an Drum Music Based on Compressed Coding
- A New Corpus for Computational Music Research andA Novel Method for Musical Structure Analysis
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