This is a fully quantized version (asymmetrical int8) of the MicroNet Medium model developed by Arm, from the MicroNets paper. This model is trained on the 'Google Speech Commands' dataset.
Apache-2.0
The class labels associated with this model can be downloaded by running the script get_class_labels.sh.
| Platform |
Optimized |
| Cortex-A |
✖️ |
| Cortex-M |
✔️ |
| Mali GPU |
✔️ |
| Ethos U |
✔️ |
- ✔️ - Will run on this platform.
- ✖️ - Will not run on this platform.
Dataset: Google Speech Commands Test Set
| Metric |
Value |
| Accuracy |
0.958 |
| Optimization |
Value |
| Quantization |
INT8 |
| Input Node Name |
Shape |
Description |
| input |
(1, 49, 10, 1) |
A one second audio clip, converted to a 2D MFCC computed from a speech frame of length 40ms and stride 20ms. |
| Output Node Name |
Shape |
Description |
| Identity |
(1, 12) |
The probability on 12 keywords. |