{"owner":"UCSD-E4E","github":"https://github.com/UCSD-E4E","claimed":false,"inventory":[],"indexed":[{"repo":"UCSD-E4E/PyHa","github":"https://github.com/UCSD-E4E/PyHa","description":"A repo designed to convert audio-based \"weak\" labels to \"strong\" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!","language":"Jupyter Notebook","stars":23,"topics":["bird-audio-clips","moment-labels","human-labels","bioacoustics","automation","machine-learning","sound-processing","natural-language-processing","object-detection","sed"],"license":null,"category":"machine-learning"}],"how_to_buy":"GET /r/UCSD-E4E/<repo> (Accept: application/json) for any listed repo here: tree, README, price and the checkout to pay (x402; rehearse first at its test twin, simulated money). Repos under 'indexed' are free: clone them from GitHub."}