Open-Source Tools & Data for Music Source Separation
  • Open Source Tools & Data for Music Source Separation

Introduction

  • Tutorial Structure and Setup
  • What is Source Separation?
  • Map of Open-Source Source Separation Projects

Basics of Source Separation

  • Representing Audio
  • TF Representations and Masking
  • Phase
  • Evaluation

First Steps

  • Introduction to nussl
  • Putting it All Together: Repetition
  • Build Your Own HPSS

Deep Learning Approaches

  • Introduction
  • Building Blocks
  • Architectures

Data

  • Introduction
  • Datasets
  • The MUSDB18 dataset
  • Generating mixtures with Scaper
  • Recap

Training

  • Introduction
  • Gradient descent
  • Coding up model architectures
  • Putting it all together

Conclusions

  • Applications
  • Concluding Remarks

Resources

  • References
  • Additional Reading
  • Cite this Book
  • Acknowledgements
  • About the Authors
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Index

B | D | M | S | T | U | W

B

  • Beamforming

D

  • DFT
  • Downsample

M

  • Mono
  • Monophonic

S

  • Sample
  • Sample Rate
  • Short-time Fourier Transform (STFT)
  • Stereo
  • Stereophonic
  • STFT

T

  • TF
  • TF bin
  • TF Representation

U

  • Upsample

W

  • Waveform

By Ethan Manilow, Prem Seetharaman, Justin Salamon
© Copyright 2020.