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Jupyter notebooks using torchaudio for Mads Græsbøll Christensen, Introduction to Audio Processing, Springer, 2019. Written by Jesper Kjær Nielsen and maintained by Cumhur Erkut.

License: MIT License

Jupyter Notebook 100.00%

med4-ap-torchaudio's Introduction

Notebooks for the Medialogy MED4 course Audio Processing, by Jesper Kjær Nielsen and Cumhur Erkut. Based on the book “Introduction to Audio Processing”, M. G. Christensen, 2019, Springer https://www.springer.com/gp/book/9783030117801

Contents

  • https://colab.research.google.com/assets/colab-badge.svg 01 What is Sound?
  • https://colab.research.google.com/assets/colab-badge.svg 02 The Wave Equation
  • https://colab.research.google.com/assets/colab-badge.svg 03 Digital Audio Signals
  • https://colab.research.google.com/assets/colab-badge.svg 04 What are Filters?
  • https://colab.research.google.com/assets/colab-badge.svg 05 Comb Filters and Periodic Signals
  • https://colab.research.google.com/assets/colab-badge.svg 06 More about filters
  • https://colab.research.google.com/assets/colab-badge.svg 07 Fourier transform
  • https://colab.research.google.com/assets/colab-badge.svg 08 Audio Effects
  • https://colab.research.google.com/assets/colab-badge.svg 09 Spatial Effects
  • https://colab.research.google.com/assets/colab-badge.svg 10 Equalizers
  • https://colab.research.google.com/assets/colab-badge.svg 11 Dynamic Range Control
  • https://colab.research.google.com/assets/colab-badge.svg 12 Pitch Estimation

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