opensoundscape
  • OpenSoundscape

Introduction

  • Resources
  • Orientation for PyTorch users

Installation

  • Mac and Linux
  • Windows
  • Create a conda environment from the included yml file
  • Jupyter
  • Google Colab
  • Contributors

Basic Tutorials

  • Audio
  • Spectrograms
  • Use a CNN to recognize sounds
  • Agile Bioacoustic Modeling with SongSpace
  • Acoustic localization

Other Tutorials

  • Audio annotations
  • Train a CNN
  • Transfer learning: training shallow classifiers on embedding models outputs
  • Train classifiers on BirdNET or Perch embeddings
  • Training with Opensoundscape & Pytorch Lightning
  • Customize CNN training
  • Preprocess audio samples
  • Save and load preprocessors
  • RIBBIT Pulse Rate model demonstration
  • Ruffed Grouse recognition method
  • Interactive Visualization

Classifiers 101

  • Introduction to training classifiers
  • Uses of automated sound classification
  • Organization
  • Creating a training dataset
  • CNN training
  • Testing a CNN
  • Further steps
  • Additional resources

API Documentation

  • Subpackages
  • Submodules
  • opensoundscape.annotations module
  • opensoundscape.audio module
  • opensoundscape.data_selection module
  • opensoundscape.logging module
  • opensoundscape.metrics module
  • opensoundscape.ribbit module
  • opensoundscape.sample module
  • opensoundscape.signal_processing module
  • opensoundscape.spectrogram module
  • opensoundscape.utils module
  • opensoundscape.vector_database module
  • opensoundscape.visualization module
  • opensoundscape.vector_database module
  • Module contents

Index

  • General Index
opensoundscape
  • Search

© Copyright 2024 Sam Lapp, Tessa Rhinehart, Louis Freeland-Haynes, Jatin Khilnani, Alexandra Syunkova, Leonardo Viotti, Santiago Ruiz Guzman, Justin Kitzes.

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