DAS
Project description
Deep Audio Segmenter
DAS is a method for automatically annotating song from raw audio recordings based on a deep neural network. DAS can be used with a graphical user interface, from the terminal, or from within python scripts.
If you have questions, feedback, or find bugs please raise an issue.
Please cite DAS as:
Elsa Steinfath, Adrian Palacios, Julian Rottschäfer, Deniz Yuezak, Jan Clemens (2021). Fast and accurate annotation of acoustic signals with deep neural networks. eLife
See the documentation at https://janclemenslab.org/das/ for instructions on how to install DAS and for a user guide:
- A quick start tutorial walks through all steps from manually annotating song, over training a network, to generating new annotations.
- How to use the graphical user interface.
- How to use DAS from the terminal or from python scripts.
Acknowledgements
The following packages were modified and integrated into das:
- Keras implementation of TCN models modified from keras-tcn (in
das.tcn
) - Trainable STFT layer implementation modified from kapre (in
das.kapre
)
See the sub-module directories for the original READMEs.
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