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Speech Recognition CNN

Created using TensorFlow Google Speech Commands Dataset with inspiration from TensorFlow

Purpose: To act as a security measure in fearless.app

Accuracy: ~91%

Instructions

1. Download Conda (if you do not have it)

Download and install Miniconda from:
https://docs.conda.io/en/latest/miniconda.html

2. Create a new conda environment

conda env create -f environment.yml

3. Activate the conda environment

conda activate speech-cnn

4. Run train.py or use the presaved model

Note

model.py was the original CNN architecture, model2.py is the final CNN architecture. For best results, use model2.py.

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A CNN model made for fearless.app

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