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@@ -12,6 +12,9 @@ This is a repo that implements web interface for DEMUCS model proposed in [Real
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  The model was trained from scratch in Pytorch. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions.
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  You can record your voice in noisy conditions and get denoised version using DEMUCS model. There is also Spectral Gating denoiser as baseline.
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  # Running
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  Without docker:
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@@ -64,6 +67,8 @@ For tracking experiments local server of [Weights & Biases](https://wandb.ai/sit
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  | double_sr| Train with double sample rate| Small improvement |
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  |replicate paper | Lower learning rate and fix bug in dataloader | Massive improvement! |
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  ![img.png](images/plot.png)
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  The model was trained from scratch in Pytorch. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions.
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  You can record your voice in noisy conditions and get denoised version using DEMUCS model. There is also Spectral Gating denoiser as baseline.
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+ <center><img src="https://th.bing.com/th/id/OIP.JuP5GDiGXTGkVR-x7Ov0bgHaF8?w=233&h=186&c=7&r=0&o=5&dpr=2&pid=1.7" >
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+ </center>
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+
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  # Running
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  Without docker:
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  | double_sr| Train with double sample rate| Small improvement |
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  |replicate paper | Lower learning rate and fix bug in dataloader | Massive improvement! |
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  ![img.png](images/plot.png)
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