Tired of getting caught in difficult situations after playing some Whatsapp content with a troll in it?
Let's put deep learning to work for the good!
Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).
The model uses a RNN-GRU architecture, using convolutions on audio spectrograms to extract features.
- Use the
requirements.txtfile to install the dependencies (preferably using virtualenv)
git clone https://github.com/andriosr/deeptrolldetector.git
cd deeptrolldetector
virtualenv deeptroll_env
source deeptroll_env/bin/activate
pip install -r requirements.txt
- Download the training set and pre-trained models at:
https://drive.google.com/file/d/1wBfrJ7UPC0BLJZlJRlSZgSHxC_YButiF
-
Extract the downloaded file in the project folder, setting its name to
data -
Start Jupyter, open the
Deep_Trool_Detector.ipynband let the fun begin
jupyter notebook