This is a audio classificaion model. The current classes it can classify are:
| airplane | breathing | brushing teeth | can openining | car horn |
|---|---|---|---|---|
| cat | chainsaw | chirping birds | church bells | clapping |
| clock alarm | clock tick | coughing | cow | crackling fire |
| crickets | crow | crying baby | dog | door wood creaks |
The model works by creating spectrograms, visual way of representing the signal strength, or “loudness”, of a signal over time at various frequencies present in a particular waveform, and classifying on a CNN model.
The data used is ESC-50, a dataset wtih environmental sound classification. The dataset comes with 50 different classes but at this current stage the model is trained for 20 classes at 75% accuracy.