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keyword_spotting/ds_cnn_small/model_package_tf/model_archive/TFLite/tflite_int16

Description

This is a fully quantized int16 version of the DS-CNN Small model developed by Arm, from the Hello Edge paper.

License

Apache-2.0

Network Information

Network Information Value
Framework TensorFlow Lite
Datatype int16
SHA-1 Hash e82c7d645bec3dec580a096de0a297c6dd9a6463
Size (Bytes) 55392
Provenance https://github.com/ARM-software/ML-examples/tree/main/tflu-kws-cortex-m
Training Trained by Arm
Paper https://arxiv.org/abs/1711.07128

DataSet

Dataset Information Value
Name Google Speech Commands test set

Accuracy

Metric Value
Accuracy 93.39%

HW Support

HW Support Value
Cortex-A ✔️
Cortex-M ✔️ HERO
Mali GPU ✔️
Ethos U ✔️

Key

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

Network Quality

Network Quality Value
Recreate ✔️
Quality level Hero
Vanilla ✔️
Clustered ✖️
Pruned ✖️
Quantization - default ✖️
Quantization - full ✔️

Network Inputs

Input Node Name Shape Type Example Path Example Type Example Shape Example Use Case
serving_default_input:0 (1, 490) int16 models/keyword_spotting/ds_cnn_small/model_package_tf/model_archive/TFLite/tflite_int16/testing_input int16 [1, 490] The input is a processed MFCCs

Network Outputs

Output Node Name Shape Type Example Path Example Type Example Shape Example Use Case
StatefulPartitionedCall:0 (1, 12) int16 models/keyword_spotting/ds_cnn_small/model_package_tf/model_archive/TFLite/tflite_int16/testing_output int16 [1, 12] The probability on 12 keywords