Add lpc weighting and model parameter handling
Model now stores LPC gamma, look-ahead, and end-to-end. Parameters aren't quite reliable yet, YMMV
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- dnn/freq.c 11 additions, 0 deletionsdnn/freq.c
- dnn/freq.h 1 addition, 1 deletiondnn/freq.h
- dnn/lpcnet.c 3 additions, 0 deletionsdnn/lpcnet.c
- dnn/lpcnet_private.h 0 additions, 2 deletionsdnn/lpcnet_private.h
- dnn/training_tf2/dump_lpcnet.py 98 additions, 62 deletionsdnn/training_tf2/dump_lpcnet.py
- dnn/training_tf2/lossfuncs.py 9 additions, 6 deletionsdnn/training_tf2/lossfuncs.py
- dnn/training_tf2/lpcnet.py 18 additions, 6 deletionsdnn/training_tf2/lpcnet.py
- dnn/training_tf2/parameters.py 29 additions, 0 deletionsdnn/training_tf2/parameters.py
- dnn/training_tf2/test_lpcnet.py 16 additions, 5 deletionsdnn/training_tf2/test_lpcnet.py
- dnn/training_tf2/train_lpcnet.py 20 additions, 5 deletionsdnn/training_tf2/train_lpcnet.py
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