My favorite technology in this project has to be hands down Tenserflow/Keras. It’s ability to build and train complex deep learning models for image classification is incredibly powerful. Im suprised that models can learn patterns from raw data like spectrograms and achieve good accuracy. While it is great to work with sometimes it spits out errors I don’t understand. While im not working on the data preprocessing side, I would say that would be my least favorite part since it is time consuming
