Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
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Contents
1
Introduction
2
Contributions
3
Models
3.1
WaveNet Autoencoder
3.2
Baseline: Spectral Autoencoder
3.3
Training
4
The NSynth Dataset
5
Evaluation
5.1
Reconstruction
5.2
Interpolation in Timbre and Dynamics
5.3
Entanglement of Pitch and Timbre
6
Future Directions
Introduction
Contributions
Models
WaveNet Autoencoder
Mu-law encoding:
Baseline: Spectral Autoencoder
Training
The NSynth Dataset
Evaluation
Reconstruction
left
Interpolation in Timbre and Dynamics
Entanglement of Pitch and Timbre
Future Directions
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