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Introduction
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Classroom Contents
Parameter Inference of Music Synthesizers with Deep Learning
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- 1 Introduction
- 2 Motivation
- 3 Demo
- 4 Additive Synthesis
- 5 Subtractive Synthesis
- 6 Wavetable Synthesis
- 7 FM Synthesis
- 8 Other Methods
- 9 Why Parameter Inference
- 10 Parameters
- 11 References
- 12 Deep Learning Basics
- 13 Neural Network Blocks
- 14 Why Deep Learning
- 15 Building a Dataset
- 16 Syntheon
- 17 Json
- 18 Cnns
- 19 Serums
- 20 Other works
- 21 Selfsupervised learning
- 22 Differentiability
- 23 Differentiable DSP
- 24 Semisupervised learning
- 25 Discussion
- 26 Summary
- 27 References Shoutouts
