vall-e/scripts/process_libritts.py

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