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Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

Results 6 keyword-transformer issues
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URL given in Jupyter notebook 02_inference.ipynb "https://storage.googleapis.com/kws_models/models2_30k.zip" to download trained models gets a HTTP response error. (403:Forbidden). Are those models trained with 35 labels? If so, could they be shared?

Hi, Can you please provide some pointers on how to extract attention weights from a trained tflite model or from _model_non_stream_ as defined in [https://github.com/ARM-software/keyword-transformer/blob/master/kws_streaming/colab/02_inference.ipynb](url) Thanks

I was training the model on tesla v100 GPUs and CUDA version is 11.0. However, I realize the volatile GPU-util remains 0%, which means the GPU was not in fully...

It is mentioned that the latency measurements of tflite model on 4x ARM Cortex-A55 and 4x ARM Cortex-A75 in your paper. I would like to realize it. if you kindly...

when running https://github.com/ARM-software/keyword-transformer/blob/master/kws_streaming/train/model_train_eval.py using bazel there were many errors, can you provide bazel BUILD file for that one