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@intelliChirp

Team IntelliChirp

CS 2020 Capstone Project for Team IntelliChirp

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  1. SNAW Public

    Soundscape Noise Analysis Workbench - React Web Application

    JavaScript 1

  2. Soundscape-Neural-Network Public

    Convolution Neural Network for predicting sound components of soundscape audio files.

    Jupyter Notebook

  3. SNAW-Offline Public

    Soundscape Noise Analysis Workbench - Offline Standalone Version of Application

    Python

  4. Installation_Requirements Public

    Use this to install all the packages needed to run SNAW

Repositories

Showing 8 of 8 repositories
  • Installation_Requirements Public

    Use this to install all the packages needed to run SNAW

    0 0 0 15 Updated Dec 8, 2022
  • SNAW Public

    Soundscape Noise Analysis Workbench - React Web Application

    JavaScript 0 1 5 4 Updated Mar 12, 2021
  • team-website Public

    IntelliChirp Team Website (2020 NAU Capstone Website)

    CSS 0 0 0 0 Updated May 8, 2020
  • Soundscape-Neural-Network Public

    Convolution Neural Network for predicting sound components of soundscape audio files.

    Jupyter Notebook 0 0 0 0 Updated May 7, 2020
  • SNAW-Offline Public

    Soundscape Noise Analysis Workbench - Offline Standalone Version of Application

    Python 0 0 1 1 Updated May 7, 2020
  • trim-wav-from-csv Public

    Trims wav audio files as specified in a csv file, then separates files into separate folders by class.

    Python 0 0 0 0 Updated Mar 9, 2020
  • files-to-folders Public

    Takes a list of files from a csv and seperates into specific folders.

    Python 0 0 0 0 Updated Mar 3, 2020
  • intellichirp-snaw Public Forked from stevenenriquez/intellichirp-snaw

    476/486 - Soundscape Noise Analysis Workbench

    JavaScript 0 2 0 0 Updated Feb 20, 2020

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