Jean-Marc Valin
ddd5669e79
Pitch and fargan model updates
...
Removing one of the 2d conv layers for pitch estimation reduces
complexity without noticeable degradation. FARGAN model has more
adversarial training.
Also, no need for the double precision in the low-pass filter.
2023-10-28 23:33:47 -04:00
Jean-Marc Valin
4598fe5409
Quantizing pitchdnn and rdovae weights
2023-10-20 12:54:13 -04:00
Jean-Marc Valin
f0ec990dba
Switching to neural pitch estimator
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Remove old pitch estimator and retrain all models
2023-10-06 03:14:56 -04:00
Jean-Marc Valin
8e8edf71bd
Remove unneeded (I think) tanh at the end
2023-10-01 21:34:58 -04:00
Jean-Marc Valin
33adba02c7
First version of pitch DNN C code
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Totally untested -- most likely doesn't work
2023-10-01 03:59:17 -04:00
Jean-Marc Valin
f3b86f9414
Fix model saving
2023-09-30 02:48:26 -04:00
Jan Buethe
0459a572f5
updated PitchDNN export script
2023-09-29 15:34:59 +02:00
Jan Buethe
ce28695844
refactoring and cleanup
2023-09-29 15:31:45 +02:00
Jean-Marc Valin
9a7bb764d4
No features skip needed to align pitch features
2023-09-27 13:01:21 -04:00
Jean-Marc Valin
a6b4fe375a
Script to compute the groundtruth data using CREPE
2023-09-27 13:00:12 -04:00
Jan Buethe
41a4c9515d
changed checkpoint format
2023-09-26 12:12:47 -04:00
Jean-Marc Valin
733a095ba2
Adapting to new data format/model
2023-09-26 12:12:47 -04:00
Krishna Subramani
f38b4a317f
Python code for neural pitch
2023-09-26 12:12:47 -04:00
