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Keyword spotting on Arm Cortex-M Microcontrollers

Results 53 ML-KWS-for-MCU issues
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What is act_max parameter?

separable_convolution2d Is it equivalent to ds-cnn? why add convolution2d in the back of separable_convolution2d model?

Hi , After i train and freeze to pb file by following commands: python2 train.py --model_architecture ds_cnn --model_size_info 5 64 10 4 2 2 64 3 3 1 1 64...

What is the required tensorflow version for the repo, 1.4 or higher ? Anyone update it to 2.0?

Hi all: when i use the cmd: **python train.py --model_architecture ds_cnn --model_size_info 5 64 10 4 2 2 64 3 3 1 1 64 3 3 1 1 64 3...

i have trained my model on 2 keyword but sometime it is detecting false when the pitch is high.why this is happening ? 2500 dataset per keyword and used dnn...

I run file label.wav in validation_list.txt with Accuracy differ paper. I run with architecture CNN, accuracy on F1-score weighted is 85.4% and DS-CNN, accuracy on F1-score weighted is 88%. Please...

i want to train on 5 keywords and i wanted to know how much training data should i need. and what model should i use to ignore negative words and...

I tried to create a new header file for the DS-CNN by running: ``` python train.py --model_architecture ds_cnn ... python fold_batchnorm.py --model_architecture ds_cnn ... python quant_test.py --model_architecture ds_cnn ... ```...

static q7_t const conv1_wt[CONV1_OUT_CH*CONV1_KX*CONV1_KY]; static q7_t const conv1_bias[CONV1_OUT_CH]; static q7_t const conv2_ds_wt[CONV1_OUT_CH*CONV2_DS_KX*CONV2_DS_KY]; static q7_t const conv2_ds_bias[CONV1_OUT_CH]; static q7_t const conv2_pw_wt[CONV2_OUT_CH*CONV1_OUT_CH]; static q7_t const conv2_pw_bias[CONV2_OUT_CH]; static q7_t const conv3_ds_wt[CONV2_OUT_CH*CONV3_DS_KX*CONV3_DS_KY]; static q7_t...