mrq/ai-voice-cloning
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I forget

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mrq 2023-03-23 04:53:31 +00:00
parent 444bcdaf62
commit 69d84bb9e0
1 changed files with 7 additions and 2 deletions
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9
src/utils.py
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@ -1487,6 +1487,11 @@ def prepare_dataset( voice, use_segments=False, text_length=0, audio_length=0, p
lines = { 'training': [], 'validation': [] } lines = { 'training': [], 'validation': [] }
segments = {} segments = {}
# I'm not sure how the VALL-E implementation decides what's validation and what's not
if args.tts_backend == "vall-e":
text_length = 0
audio_length = 0
for filename in enumerate_progress(results, desc="Parsing results", progress=progress): for filename in enumerate_progress(results, desc="Parsing results", progress=progress):
use_segment = use_segments use_segment = use_segments
@ -1647,7 +1652,7 @@ def prepare_dataset( voice, use_segments=False, text_length=0, audio_length=0, p
quantized = valle_quantize( waveform, sample_rate ).cpu() quantized = valle_quantize( waveform, sample_rate ).cpu()
torch.save(quantized, qnt_file) torch.save(quantized, qnt_file)
print("Quantized:", file) print("Quantized:", qnt_file)
for i in enumerate_progress(range(len(jobs['phonemize'][0])), desc="Phonemizing", progress=progress): for i in enumerate_progress(range(len(jobs['phonemize'][0])), desc="Phonemizing", progress=progress):
phn_file = jobs['phonemize'][0][i] phn_file = jobs['phonemize'][0][i]
@ -1655,7 +1660,7 @@ def prepare_dataset( voice, use_segments=False, text_length=0, audio_length=0, p
phonemized = valle_phonemize( normalized ) phonemized = valle_phonemize( normalized )
open(phn_file, 'w', encoding='utf-8').write(" ".join(phonemized)) open(phn_file, 'w', encoding='utf-8').write(" ".join(phonemized))
print("Phonemized:", file) print("Phonemized:", phn_file)
training_joined = "\n".join(lines['training']) training_joined = "\n".join(lines['training'])
validation_joined = "\n".join(lines['validation']) validation_joined = "\n".join(lines['validation'])