PyTadarida

PyTadarida is a Python wrapper for the Tadarida-D algorithm, which is a method for detecting presence of bioacoustic events in audio recordings. The algorithm is described in detail in the following paper:

Bas, Y., Bas, D., & Julien, J.-F. (2017). Tadarida: A Toolbox for Animal Detection on Acoustic Recordings. Journal of Open Research Software, 5(1), 6. DOI: http://doi.org/10.5334/jors.154

The original implementation of the algorithm is written in C++, and is available on its GitHub repository.

Installation

PyTadarida only runs in Linux. Make sure you have all the Tadarida-D dependencies, in Ubuntu you can install them with

sudo apt-get install libfftw3-dev libicu-dev libsndfile1-dev libqt5core5a

PyTadarida is available on PyPI, and can be installed with pip:

pip install pytadarida

Usage

PyTadarida exposes a single function, run_tadarida, which takes a list of .wav files or directories containing .wav files as input, and returns a pandas DataFrame containing the detected events.

    from pytadarida import run_tadarida

    events, status = run_tadarida(["/path/to/file.wav", "/path/to/directory"])

The status variable is an object containing the status of the algorithm after running. It can generally ignored, but can be useful to check whether the algorithm was able to process the file, and any warnings that were generated.

    # The stdout attribute contains what the algorithm prints to the
    # console while running
    tadarida_run_message = status.stdout

    # The errors attribute contains any errors that were generated while
    # running the algorithm
    tadarida_error_message = status.errors

    # The detect attribute contains the detection log of the algorithm
    tadarida_detection_message = status.detect

License

As the original Tadarida-D algorithm is licensed under the GNU General Public License v3.0, PyTadarida is also licensed under the GNU General Public License v3.0. This means that PyTadarida is free software, and you are free to use, modify, and redistribute it under certain conditions. See the LICENSE file for more information.

Contributing

Contributions are welcome! If you find a bug, or have a feature request, please open an issue on the GitHub repository