Skip to content
This repository has been archived by the owner on Nov 25, 2019. It is now read-only.
/ asc-cnn Public archive

Acoustic Scene Auditory (ASC) using Convolutional Neural Network (CNN)

License

Notifications You must be signed in to change notification settings

mattberjon/asc-cnn

Repository files navigation

Acoustic Scene Classification

Development Travis CI builds Coverall coverage report
Last release PyPI Latest Version Python versions (PyPI) Updates
PyPI status Distribution format (PyPI) Project status (PyPI) License (PyPI)

Acoustic Scene Auditory (ASC) using Convolutional Neural Network (CNN) is a project being part of the Machine Learning Nanodegreen program given by Udacity. For a description of the proposal, you can refer to its web version.

Dataset

The dataset can be downloaded on the Zenodo server.

Features

  • TODO

Credits

Project created by Matthieu Berjon and based on the work of Simone Battaglino, Ludovick Lepauloux and Nicholas Evans.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

About

Acoustic Scene Auditory (ASC) using Convolutional Neural Network (CNN)

Resources

License

Stars

Watchers

Forks

Packages

No packages published