mirror of https://github.com/coqui-ai/TTS.git
removed shuffling of data in the preprocessor, uniform indentation
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parent
41e3e42989
commit
f279fe9e8b
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@ -1,5 +1,4 @@
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import os
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import random
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def tts_cache(root_path, meta_file):
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@ -9,8 +8,8 @@ def tts_cache(root_path, meta_file):
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with open(txt_file, 'r', encoding='utf8') as f:
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for line in f:
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cols = line.split('| ')
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items.append(cols) # text, wav_full_path, mel_name, linear_name, wav_len, mel_len
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random.shuffle(items)
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# text, wav_full_path, mel_name, linear_name, wav_len, mel_len
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items.append(cols)
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return items
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@ -26,7 +25,6 @@ def tweb(root_path, meta_file):
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wav_file = os.path.join(root_path, cols[0] + '.wav')
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text = cols[1]
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items.append([text, wav_file])
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random.shuffle(items)
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return items
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@ -55,14 +53,14 @@ def mozilla(root_path, meta_files):
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with open(txt_file, 'r') as ttf:
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for line in ttf:
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cols = line.split('|')
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wav_file = os.path.join(root_path, folder, 'wavs_no_processing', cols[1].strip())
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wav_file = os.path.join(root_path, folder, 'wavs_no_processing',
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cols[1].strip())
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if os.path.isfile(wav_file):
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text = cols[0].strip()
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items.append([text, wav_file])
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else:
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print(" > Error: {}".format(cols))
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continue
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random.shuffle(items)
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return items
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@ -78,13 +76,13 @@ def mailabs(root_path, meta_files):
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with open(txt_file, 'r') as ttf:
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for line in ttf:
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cols = line.split('|')
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wav_file = os.path.join(root_path, folder, 'wavs', cols[0]+'.wav')
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wav_file = os.path.join(root_path, folder, 'wavs',
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cols[0] + '.wav')
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if os.path.isfile(wav_file):
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text = cols[1]
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items.append([text, wav_file])
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else:
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continue
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random.shuffle(items)
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return items
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@ -98,7 +96,6 @@ def ljspeech(root_path, meta_file):
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wav_file = os.path.join(root_path, 'wavs', cols[0] + '.wav')
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text = cols[1]
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items.append([text, wav_file])
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random.shuffle(items)
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return items
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@ -112,7 +109,6 @@ def nancy(root_path, meta_file):
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text = line[line.find('"') + 1:line.rfind('"') - 1]
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wav_file = os.path.join(root_path, "wavn", id + ".wav")
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items.append([text, wav_file])
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random.shuffle(items)
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return items
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@ -126,7 +122,6 @@ def common_voice(root_path, meta_file):
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continue
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cols = line.split("\t")
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text = cols[2]
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# Files need to be first converted to wav...
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wav_file = os.path.join(root_path, "clips", cols[1] + ".wav")
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items.append([text, wav_file])
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return items
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