https://github.com/saran-nns/edge-computing-with-tf

Audio signal processing steps for training Deep Generative Neural Networks
https://github.com/saran-nns/edge-computing-with-tf

Last synced: 2 months ago
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Audio signal processing steps for training Deep Generative Neural Networks

• Host: GitHub
• URL: https://github.com/saran-nns/edge-computing-with-tf
• Owner: Saran-nns
• License: mit
• Created: 2017-12-15T11:12:24.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-10-14T20:50:34.000Z (over 4 years ago)
• Last Synced: 2025-02-09T15:38:48.861Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.72 MB
• Stars: 0
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
### Developed for a seminar project: Edge-computing-with-tf

Audio signal preprocessing steps for preparing the audio datasets to train Deep generative neural networks

DNN paper reference:

Synthesize piano sounds using baseline spectral auto encoder model refered from Google's Wavenet paper https://arxiv.org/abs/1704.01279