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No features skip needed to align pitch features

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Jean-Marc Valin 2023-09-27 13:01:21 -04:00
parent a6b4fe375a
commit 9a7bb764d4
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1 changed files with 0 additions and 3 deletions
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3
dnn/torch/neural-pitch/models.py
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@ -189,9 +189,6 @@ class loader(torch.utils.data.Dataset):
class loader_joint(torch.utils.data.Dataset): class loader_joint(torch.utils.data.Dataset):
def __init__(self, features, file_pitch, confidence_threshold = 0.4,context = 100, choice_data = 'both'): def __init__(self, features, file_pitch, confidence_threshold = 0.4,context = 100, choice_data = 'both'):
self.feat = np.memmap(features, mode='r', dtype=np.int8).reshape(-1,312) self.feat = np.memmap(features, mode='r', dtype=np.int8).reshape(-1,312)
#Skip first first two frames for dump_data to sync with CREPE
self.feat = self.feat[2:,:]
self.xcorr = self.feat[:,:224] self.xcorr = self.feat[:,:224]
self.if_feat = self.feat[:,224:] self.if_feat = self.feat[:,224:]
ground_truth = np.memmap(file_pitch, mode='r', dtype=np.float32).reshape(-1,2) ground_truth = np.memmap(file_pitch, mode='r', dtype=np.float32).reshape(-1,2)