vall-e/scripts/process_old_dataaset.py

63 lines
2.1 KiB
Python

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_audio = "voices"
input_metadata = "metadata"
output_dataset = "training"
device = "cuda"
txts = []
wavs = []
for dataset_name in os.listdir(f'./{input_audio}/'):
if not os.path.isdir(f'./{input_audio}/{dataset_name}/'):
continue
for speaker_id in tqdm(os.listdir(f'./{input_audio}/{dataset_name}/'), desc="Processing speaker"):
if not os.path.isdir(f'./{input_audio}/{dataset_name}/{speaker_id}'):
continue
os.makedirs(f'./{output_dataset}/{dataset_name}/{speaker_id}/', exist_ok=True)
for filename in os.listdir(f'./{input_audio}/{dataset_name}/{speaker_id}/'):
inpath = Path(f'./{input_audio}/{dataset_name}/{speaker_id}/{filename}')
outpath = Path(f'./{output_dataset}/{dataset_name}/{speaker_id}/{filename}')
metadata_json = Path(f'./{input_metadata}/{dataset_name}/{speaker_id}/whisper.json')
if not metadata_json.exists() or not inpath.exist():
print("Does not exist:", metadata_json, inpath)
continue
if ".wav" not in filename and ".mp3" not in filename:
continue
if not _replace_file_extension(outpath, ".json").exists():
txts.push([ inpath, outpath ])
if not _replace_file_extension(outpath, ".dac").exists():
wavs.push([ inpath, outpath ])
for paths in tqdm(txts, desc="Phonemizing..."):
text = open(paths[0], "r", encoding="utf-8").read()
phones = valle_phonemize(text)
data = {
"text": text,
"phonemes": phones,
"language": "english",
}
open(_replace_file_extension(paths[1], ".json"), 'w', encoding='utf-8').write(json.dumps(data))
#phones = valle_phonemize(open(paths[0], "r", encoding="utf-8").read())
#open(_replace_file_extension(paths[1], ".phn.txt"), "w", encoding="utf-8").write(" ".join(phones))
for paths in tqdm(wavs, desc="Quantizing..."):
qnt = valle_quantize(paths[0], device=device)
qnt.save(_replace_file_extension(paths[1], ".dac"))
#torch.save(qnt.cpu(), _replace_file_extension(paths[1], ".qnt.pt"))