MlWoo
MlWoo
@begeekmyfriend I have not modified the relative code in terms of the pattern.
@tomse-h I have not modified the relative code in terms of the linear pattern. You can complete it with the solution of mel features
@shaktikshri No, it increases but does scale linearly. You would better check the time of loading data and the unbalance of length of data of each device.
@fatchord I am impressed with your work. There are 2 questions: 1. What is your dataset? 2. How much is the loss the model achieved when training ? Thank you...
@fatchord That's awsome! The model converges very quickly, howerver, my model got 1.5 at around 90 epochs. How many epochs did you model cost to get to around 1.
@fatchord Thanks a lot, I will keep training the model and post them later. BTW, Could I konw the tools to sgement the audio into mutiple small audios?
@Kristopher-Chen have you resolved the problems?
@alokprasad good questions. The other params(18 dims) of input features is computed by `C` code, however, it does not be calculated by `python` code. Maybe I should borrow it from...
@alokprasad I has implement the code. You can view the branch [cmake](https://github.com/MlWoo/LPCNet/tree/cmake). Hope you can find bugs and we can fix together. And I will close the issue in a...
@raikarsagar Sorry to forget to push the cmake files to the repo. plz update it and run it again