SOUND CLASSIFICATION WITH TENSORFLOW ON RASPBERRY PI
BUILD THE PROJECT
The project is developed and tested with Python 2.7.
Install following Python libraries on your PC/Workstation and Raspberry Pi:
Tensorflow, Scikit-learn, Librosa
Install following library on your Raspberry only:
- DOWNLOAD UrbanSound8K DATASET
- TRAIN THE MODEL
Set the right path where you downloaded the dataset in your code.
Set the right path where you want to save the trained model.
Run "trainModel.py" on your PC/Workstation.
- RUN THE MODEL
Export the trained model on you Raspberry Pi ('model.meta', 'model.index', 'checkpoint', 'model.data-00000-of-00001').
Export 'fit_params.npy' on your Raspberry Pi.
Run "classiPi.py" on your Raspberry and enjoy!
Remember to reference this project in your works.
Gianluca Paolocci, University of Naples Parthenope, Science and Techonlogies Departement, Ms.c Applied Computer Science https://www.linkedin.com/in/gianluca-paolocci-a19678b6/
Luigi Russo, University of Naples Parthenope, Science and Techonlogies Departement, Ms.c Applied Computer Science
if you have problems, questions, ideas or suggestions, please contact me to: