Table 16.
Evaluation of RPi using TFLite and quantization-aware training with 8-bit on the Urban Sound dataset.
| Models | Inference Time (ms) | Micro | Macro | Weighted |
|---|---|---|---|---|
| ANN | 0.121 ± 0.009 | 0.942 | 0.950 | 0.944 |
| CNN-1D | 18.856 ± 0.171 | 0.951 | 0.960 | 0.951 |
Evaluation of RPi using TFLite and quantization-aware training with 8-bit on the Urban Sound dataset.
| Models | Inference Time (ms) | Micro | Macro | Weighted |
|---|---|---|---|---|
| ANN | 0.121 ± 0.009 | 0.942 | 0.950 | 0.944 |
| CNN-1D | 18.856 ± 0.171 | 0.951 | 0.960 | 0.951 |