title: How to initialize CNN Layer with Gammatone Filters (or any filter) for sound regression (Or Classification)?
body: <p>For my project I need to initialize the CNN 1st Layer kernel with Gammatone filters according to papers ( <a href="https://www.mdpi.com/1099-4300/20/12/990/htm" rel="nofollow noreferrer">https://www.mdpi.com/1099-4300/20/12/990/htm</a> ) ,( <a href="https://www.groundai.com/project/end-to-end-environmental-sound-classification-using-a-1d-convolutional-neural-network/1" rel="nofollow noreferrer">https://www.groundai.com/project/end-to-end-environmental-sound-classification-using-a-1d-convolutional-neural-network/1</a> ) and a few others. What does it exactly mean to initialize the cnn kernel with Gammatone filter (Or any filter). How does one implement it? Is it a custom layer? Any tips and guidance would be much appreciated!    </p>
  
  <p>for instance    </p>
  
  <pre><code>conv_1 = Conv1D(filters = 64, kernel_size = 3, kernel_initializer = *insert Gammatone Filter*, padding = 'same', activation='relu', input_shape = (timesteps, features))(decoder_outputs3)
  </code></pre>
  
  <p>TIA</p>