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GA-Based-SCR

GA_Speech_command_classification The code is an implementation of genetic algorithm (GA) based CNN hyper parameters search for speech command recognition (SCR) task. The code is writtern using the following libraries:

  1. tensorflow 2.8.0
  2. keras 2.9.0
  3. scikit-learn 1.0.2
  4. librosa 0.8.1
  5. numpy version 1.21.6 MFCC features are considered using the python library python_speech_features

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