Transformer

Unofficial TensorFlow implementation of the Keyword Spotting Transformer model

Keyword Spotting Transformer

This is the unofficial TensorFlow implementation of the Keyword Spotting Transformer model. This model is used to train on the 35 words speech command dataset

Paper : Keyword Transformer: A Self-Attention Model for Keyword Spotting

Model architecture

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Download the dataset

To download the dataset use the following command

wget https://storage.googleapis.com/download.tensorflow.org/data/speech_commands_v0.02.tar.gz
mkdir data
mv ./speech_commands_v0.02.tar.gz ./data
cd ./data
tar -xf ./speech_commands_v0.02.tar.gz
cd ../

Setup virtual environment

virtualenv -p python3 venv
source ./venv/bin/activate

Install dependencies

pip install -r requirements.txt

Training the model

To train the model run this command

python3 train.py --data_dir ${Path to data directory}

                 --logdir ${Path to log directory}

                 --num_layers ${Number of sequential encoder layers}

                 --d_model


 


 




 


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