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A repository containing ML models trained to detect laughter based on Google's Audioset dataset

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Follow the instructions here: https://github.com/tensorflow/models/tree/master/research/audioset/vggish

Specifically note the part about downloading the VGGish model checkpoint and Embedding PCA parameters. Be sure to run python vggish_smoke_test.py to ensure there are no errors with your VGGish setup.

To run live inference:

  • python
  • from live_inference import main as m
  • m()

Notes:

Make sure to get the pyaudio installation correct.

pyaudio doesn't seemt to work on WSL2

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A repository containing ML models trained to detect laughter based on Google's Audioset dataset

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