This project will provide tools for bird song motif discovery and analysis to the Jarvis Lab at Duke University
Erich Jarvis Lab - Neurobiology of Vocal Communication Website: http://jarvislab.net/
Most recent TravisCI build status of master branch:
See documentation (under construction) at Read the Docs
The software is in the alpha stage of development. It is currently undergoing a major reorganization in package structure. Assume that everything written below will be changed shortly.
- A nearly complete, multithreaded GUI is implemented using PyQt4
- A model for storing and processing audio data is implemented
- Classification of audio using Keras neural nets is implemented, including training
- Manual classification of audio for training or testing
- Automated clipping of classified song bouts
- A first alpha version has been released and is being tested
Version 0.2.0 - In development! - Major project refactoring underway
Version 0.1.1 - Added export and import of parameters as text files - Added ability to simultaneously serialize all files to disk - Improved WAV file loading system so that no files would be loaded with small slices split off of them. Previously, loading a 300.01 second-long WAV file with a file split of 300 would result in a 300 second file and a 0.01 second file. Now, if the final split is less than one second, the split rule will be broken and that section will be merged into the last SongFile.
Version 0.1.0 - Initial alpha release
- Expose parameters for configuration in some sort of modal pop-up
- Create a list of workable issues on GitHub based on first test case
- Come up with a set of interfaces for future development
For the complete copyright and licensing information see LICENSE
Copyright 2015 Justin Palpant
This file is part of the audioanalysis Python package.
audioanalysis is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
audioanalysis is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with audioanalysis. If not, see http://www.gnu.org/licenses/.