NoiseSupression
A simple Noise Suppression Model based on RNN and implemented with TensorFlow.
More details: https://aruno14.medium.com/when-your-boss-say-make-noise-suppression-system-8e82ee84afd7
Dataset
Noisy and Clear data are created using create_noisy.py.
Model comparison
Models have been test on a very small subdataset (about 20 files). The MSE values are calculated on the training data.
| Model | MSE | Size |
|---|---|---|
| No model | 1.34 | - |
| Dense | 1.22 | 854Ko |
| Dense_gain | 0.75 | 862Ko |
| Dense_image | 0.68 | 367Mo |
| Lstm_simple | 1.31 | 8Mo |
| Lstm_sequence | 0.56 | 8Mo |
| Lstm_image | 0.59 | 5Go |