===== Libraries =====
  * [[https://github.com/tyiannak/pyAudioAnalysis|pyAudioAnalysis]]: A Python library for audio feature extraction, classification, segmentation and applications
    * [[https://hackernoon.com/audio-handling-basics-how-to-process-audio-files-using-python-cli-jo283u3y|Audio Handling Basics: Process Audio Files In Command-Line or Python]] is a nice writeup on how to use pyAudioAnalysis
    * this looks good and complete but hasn't been updated since Oct 2023 and many pull requests outstanding
  * [[https://github.com/librosa/librosa|librosa]]: A python package for music and audio analysis
    * looks excellent and very active but might be geared more toward music (beat detection etc.) as opposed to environmental sounds
  * [[https://github.com/libAudioFlux/audioFlux|audioFlux]] is a deep learning tool library for audio and music analysis, feature extraction.
  * [[https://ai.google.dev/edge/mediapipe/solutions/audio/audio_classifier|Google Mediapipe Audio Classifier]]
    * looks like it might run locally and use a replacement for TensorFlow lite
  * [[https://github.com/nicknochnack/DeepAudioClassification|Deep Audio Classification]] is somebody's Jupyter notebook maybe?
  * [[https://github.com/hernanrazo/human-voice-detection|Human Voice Detection]]

===== Tutorials =====
  * [[https://www.digitalocean.com/community/tutorials/audio-classification-with-deep-learning#understanding-the-audio-classification-project|Digital Ocean walkthru on installing, training audio classifier]]

===== Notes =====
  * [[https://www.reddit.com/r/learnmachinelearning/comments/11s8zqu/precious_advices_about_aisupported_audio/|reddit convo]]