Prepare a library for loading and saving data

[bzamecnik]

• high-level tasks:
  • preparing training data (features + labels)
  • preparing data for prediction (features)
• low-level tasks
  • audio recording to chromagram (frame-wise features)
  • frame-wise features to shape suitable for various DNN architectures:
    • individual frames
  • individual frames + 1D convolution
  • individual frames with context
  • individual frames with context + 2D convolution
  • sequences of frames (for LSTM)
  • sequences of frames (for LSTM) + 1D convolution
  • splitting dataset to training, validation and test splits
  • storing data
• post-processing tasks
• saving & loading models