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Update meldataset.py #1

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27 changes: 21 additions & 6 deletions repos/hifi-gan/meldataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,18 +15,33 @@
except:
pw = None

from tqdm import tqdm
def check_files(sampling_rate, segment_size, training_files):
len_training_files = len(training_files)
training_files = [x for x in training_files if os.path.exists(x)]
if (len_training_files - len(training_files)) > 0:
print(len_training_files - len(training_files), "Files don't exist (and have been removed from training)")

len_training_files = len(training_files)
training_files = [x for x in training_files if len(load_wav_to_torch(x, target_sr=sampling_rate, return_empty_on_exception=True)[0]) > segment_size]
if (len_training_files - len(training_files)) > 0:
print(len_training_files - len(training_files), "Files are too short (and have been removed from training)")
if not os.path.exists("./bad_files.txt"):
len_training_files = len(training_files)
for training_file in tqdm(training_files):
verify = len(load_wav_to_torch(training_file, target_sr=sampling_rate, return_empty_on_exception=True)[0])
if verify < segment_size:
training_files.remove(training_file)
with open("./bad_files.txt", "a") as shit_file:
shit_file.write(training_file + "\n")
if (len_training_files - len(training_files)) > 0:
print(len_training_files - len(training_files), "Files are too short (and have been removed from training)")
else:
with open("./bad_files.txt") as f:
bad_files = f.read().splitlines()
len_training_files = len(training_files)
for training_file in tqdm(training_files):
if training_file in bad_files:
training_files.remove(training_file)
if (len_training_files - len(training_files)) > 0:
print(len_training_files - len(training_files), "Files are too short (and have been removed from training)")

return training_files


def get_dataset_filelist(a, segment_size, sampling_rate):
if a.input_wavs_dir is None:
Expand Down