44 lines
1.7 KiB
Python
Executable File
44 lines
1.7 KiB
Python
Executable File
import os
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import json
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import torch
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from tqdm.auto import tqdm
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from pathlib import Path
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from vall_e.emb.g2p import encode as valle_phonemize
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from vall_e.emb.qnt import encode_from_file as valle_quantize, _replace_file_extension
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input_dataset = "LibriTTS_R"
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output_dataset = "LibriTTS-Train"
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device = "cuda"
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txts = []
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wavs = []
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for dataset_name in os.listdir(f'./{input_dataset}/'):
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if not os.path.isdir(f'./{input_dataset}/{dataset_name}/'):
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continue
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for speaker_id in tqdm(os.listdir(f'./{input_dataset}/{dataset_name}/'), desc="Processing speaker"):
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if not os.path.isdir(f'./{input_dataset}/{dataset_name}/{speaker_id}'):
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continue
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os.makedirs(f'./{output_dataset}/{speaker_id}/', exist_ok=True)
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for book_id in os.listdir(f'./{input_dataset}/{dataset_name}/{speaker_id}'):
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if not os.path.isdir(f'./{input_dataset}/{dataset_name}/{speaker_id}/{book_id}'):
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continue
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for filename in os.listdir(f'./{input_dataset}/{dataset_name}/{speaker_id}/{book_id}'):
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os.rename(f'./{input_dataset}/{dataset_name}/{speaker_id}/{book_id}/{filename}', f'./{output_dataset}/{speaker_id}/{filename}')
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if ".original.txt" in filename:
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txts.append(Path(f'./{output_dataset}/{speaker_id}/{filename}'))
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if ".wav" in filename:
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wavs.append(Path(f'./{output_dataset}/{speaker_id}/{filename}'))
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for path in tqdm(txts, desc="Phonemizing..."):
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phones = valle_phonemize(open(path, "r", encoding="utf-8").read())
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open(_replace_file_extension(path, ".phn.txt"), "w", encoding="utf-8").write(" ".join(phones))
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for path in tqdm(wavs, desc="Quantizing..."):
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qnt = valle_quantize(path, device=device)
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torch.save(qnt.cpu(), _replace_file_extension(path, ".qnt.pt"))
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