Dataset for this - https://urbansounddataset.weebly.com/urbansound8k.html

Classical approaches on this dataset as of 2019 - https://www.researchgate.net/publication/335862311_Evaluation_of_Classical_Machine_Learning_Techniques_towards_Urban_Sound_Recognition_on_Embedded_Systems 



#Fast.ai was used to train this classifier with a Resnet34 vision learner with 3 epochs.  Audio files converted to Mel Spectrograms that perform better in general for visual transformations of such audio files.

epoch	train_loss	valid_loss	accuracy	time
0	1.462791	0.710250	0.775487	01:12
epoch	train_loss	valid_loss	accuracy	time
0	0.600056	0.309964	0.892325	00:40
1	0.260431	0.200901	0.945017	00:39
2	0.090158	0.164748	0.950745	00:40