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License: MIT License
Deep Attractor Network (DANet) for single-channel speech separation
License: MIT License
hello,your code is so brief...but I only have timit dataset ,so how to implement this code?thank you for your prompt reply!!!
hi,
I wanted to try out the code, how can I generate the data, is the code for data generation also uploaded to GitHub
I meet the problem that the dataset cannot be read...
Is it the dataset should be converted to the HDf5 so that the dataset can be recognised?but I don't how to convert the dataset... can you help me?
Thanks very much for your code! That really help my a lot. I generated the data set according to your paper requirements. I applied the data to the training model code you provided and found that it did not achieve the expected results. The Mixed audio file cannot separate even a little. The separated audio file has only the difference in sound size from the original file.
I am bit confused in how to compute threshold to keep 90% of T-F bins.
I have tried
threshold = min(a) + 0.1 (max(a) - min(a))
, where a is matrix of
but it does not work well if max value to too large. Could you please give some detail on this?
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