I can recommend a few resources that use TF and signal processing libraries for audio/music, as a start:

  
    
    
    Deep Learning for signal processing problem Research & Models
  
  
    For learning about waveform/signal processing, you could start with the Sound of AI channel that teaches signal processing with Python and deep learning for audio with TensorFlow and Librosa. Some hands-on examples (in separate playlists): 


16- How to Implement a CNN for Music Genre Classification - YouTube 


How to Implement Autoencoders in Python and Keras || The Encoder - YouTube 


How to Extract Spectrograms from Audio with Python - YouTube 


GitHub repos by the same person: 


GitHub -…
  



  
    
    
    Anyone worked with speech recognition using cnn? General Discussion
  
  
    Assuming you don’t mind using Librosa and matplotlib, which can be awesome for audio pipelines, maybe you could try what this user (a researcher) did here https://github.com/librosa/librosa/issues/1313#issuecomment-833521645. First, it appears that they encode the audio waveforms into (mel) spectrograms (before using them as inputs for the network), which can be done with Librosa, for example with librosa.feature.melspectrogram . Then, it looks like they use librosa.display.specshow (API doc) a…