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This is the official documentation for Spectrogram Player.
The project was entirely developed in Python and Jupyter Notebook.
We have an official DEMO here.
You can also take a look to our project report.
Project structure
- Notebooks: contains all the Notebooks written for the comparison between the different algorithms.
- Deep-GriffinLim-Iteration: contains the source code for the training and testing of Deep GriffinLim Iteration.
- WebPage Contains the code of our demo web page.
Datasets
Review of the methods
| Methods | Input | Output | Link |
|---|---|---|---|
| Griffin-Lim | Linear spectrogram | Waveform | Librosa's page |
| MelGAN | Mel-Spectrogram | Waveform | Nvidia catalog - MelGAN |
| HiFi-Gan | Mel-spectrogram | Waveform | Nvidia catalog - HiFi-GAN |
| SqueezeWave | Mel-spectrogram | Waveform | Nvidia catalog - SqueezeWave |
| UniGlow | Mel-spectrogram | Waveform | Nvidia catalog - UniGlow |
| UnivNet | Mel-spectrogram | Waveform | Nvidia catalog - UnivNet |
| Deep Griffin-Lim | Linear-spectrogram* | Waveform | Reference Repo |
* Deep Griffin-Lim also adds a uniform noise to the original signal.