Skip to content


Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

Latest commit


Git stats


Failed to load latest commit information.
Latest commit message
Commit time
November 7, 2023 15:29
October 10, 2023 16:22
October 10, 2023 16:23
October 10, 2023 16:23
October 10, 2023 16:22
December 28, 2022 09:33
October 10, 2023 16:23
September 24, 2022 09:40
September 24, 2022 09:40
December 23, 2022 10:25

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



Anaconda: DAS is installed using an anaconda environment. For that, first install the anaconda python distribution (or miniconda).

If you have conda already installed, make sure you have conda v4.8.4+. If not, update from an older version with conda update conda.

Libsoundfile on linux: The graphical user interface (GUI) reads audio data using soundfile, which relies on libsndfile. libsndfile will be automatically installed on Windows and macOS. On Linux, the library needs to be installed manually with: sudo apt-get install libsndfile1. Note that DAS will work w/o libsndfile but will not be able to load exotic audio formats.

Install DAS

Create an anaconda environment called das that contains all the required packages:

conda install mamba -c conda-forge -n base -y
mamba create python=3.9 das=0.31.0 -c conda-forge -c ncb -c anaconda -c nvidia -n das -y

For linux, the last line needs to be:

CONDA_OVERRIDE_CUDA=11.2 mamba create python=3.9 das=0.31.0 -c conda-forge -c ncb -c anaconda -c nvidia -n das -y


To start the graphical user interface:

conda activate das
das gui

The documentation at provides information on the usage of DAS:


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.