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A Python package for audio annotation and classifier training. Developed in collaboration with the WGBH Foundation and the American Archive of Public Broadcasting.
A Dockerized Jupyter notebook environment with pre-installed audio machine learning tools.
An in-browser app for labeling audio clips at random, using Docker and Flask.
A script for squeezing as many links as possible from dynamic web pages
This repository includes training data and SVM classifier for locating applause in audio recordings.
590 contributions in the last year
stevemclaugh has no activity yet for this period.
in private repositories
Aug 6 – Aug 17
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