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| 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 |