Team IntelliChirp's repositories
files-to-folders
Takes a list of files from a csv and seperates into specific folders.
Installation_Requirements
Use this to install all the packages needed to run SNAW
intellichirp-snaw
476/486 - Soundscape Noise Analysis Workbench
SNAW-Offline
Soundscape Noise Analysis Workbench - Offline Standalone Version of Application
Soundscape-Neural-Network
Convolution Neural Network for predicting sound components of soundscape audio files.
Language:Jupyter Notebook000
team-website
IntelliChirp Team Website (2020 NAU Capstone Website)
Language:CSSNOASSERTION000
trim-wav-from-csv
Trims wav audio files as specified in a csv file, then separates files into separate folders by class.
Language:Python000