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MicroNet Medium INT8

Description

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.

License

Apache-2.0

Related Materials

Class Labels

The class labels associated with this model can be downloaded by running the script get_class_labels.sh.

Network Information

Network Information Value
Framework TensorFlow Lite
SHA-1 Hash fd03a6b24548ea99cf487dbd682937df5718cef1
Size (Bytes) 181968
Provenance https://arxiv.org/pdf/2010.11267.pdf
Paper https://arxiv.org/pdf/2010.11267.pdf

Performance

Platform Optimized
Cortex-A ✖️
Cortex-M ✔️
Mali GPU ✔️
Ethos U ✔️

Key

  • ✔️ - Will run on this platform.
  • ✖️ - Will not run on this platform.

Accuracy

Dataset: Google Speech Commands Test Set

Metric Value
Accuracy 0.958

Optimizations

Optimization Value
Quantization INT8

Network Inputs

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.

Network Outputs

Output Node Name Shape Description
Identity (1, 12) The probability on 12 keywords.