Parameter Inference of Music Synthesizers with Deep Learning

Parameter Inference of Music Synthesizers with Deep Learning

ADC - Audio Developer Conference via YouTube Direct link

Introduction

1 of 27

1 of 27

Introduction

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Parameter Inference of Music Synthesizers with Deep Learning

Automatically move to the next video in the Classroom when playback concludes

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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.