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
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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