- GANSynth: Adversarial Neural Audio Synthesis
- WaveNet: A Generative Model for Raw Audio
- DDSP: Differentiable Digital Signal Processing
- Generating Long Sequences with Sparse Transformers
- Adversarial Audio Synthesis
- SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
- Audio Super Resolution using Neural Networks
- Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
- MelNet: A Generative Model for Audio in the Frequency Domain
- Conditional Wave GAN
- Smoothed Dilated Convolutions for Improved Dense Prediction
- Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
- Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
- Generative timbre spaces: regularizing variational auto-encoders with perceptual metrics
- Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
- Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion