Comments (4)
Thanks for your interests. The denoising setup is a bit complicated/ugly as we compare several different noisy conditions. It shouldn't be hard to follow the training examples in other tasks to try it on your data. Let me know if you have questions.
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Thanks for reply. If I understood you correctly, are you saying that I can use the training code and generated .mat file from other experiments and use it as pre-trained model for the denoising task? If not, then I don't understand what you mean. Thanks!
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No. I meant you can take your data and try to fit those in other two tasks that I prepared with training script.
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FYI: I add the training code here: #18
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Related Issues (20)
- tensorflow based implementation HOT 3
- how to control the gain HOT 1
- some errors HOT 3
- training code for voice denoise HOT 2
- Timit and TSP separation code - not working HOT 4
- denoising training code HOT 4
- Would you please share the demo for denoising_model training? HOT 3
- TSP HOT 2
- minFunc returns 'Step direction is illegal!' HOT 2
- Training ERROR with "Not enough input arguments." HOT 2
- Script for Inferencing HOT 1
- After training, where is the model saved? HOT 5
- Are you using the RNN for denoising task? HOT 3
- is there other Language? HOT 1
- How to train the model? HOT 1
- Timit HOT 11
- Training (ERROR) HOT 1
- could it be used in real time ? HOT 4
- Faced some errors after running run_test_single_model.m
- what the version of matlab you use. HOT 1
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