66 lines
2.2 KiB
Python
Executable File
66 lines
2.2 KiB
Python
Executable File
import os
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import json
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import torch
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import numpy as np
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from tqdm.auto import tqdm
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from pathlib import Path
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from vall_e.config import cfg
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# things that could be args
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cfg.sample_rate = 24_000
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cfg.inference.audio_backend = "encodec"
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"""
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cfg.inference.weight_dtype = "bfloat16"
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cfg.inference.dtype = torch.bfloat16
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cfg.inference.amp = True
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"""
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from vall_e.emb.g2p import encode as valle_phonemize
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from tortoise_tts.emb.mel import encode as tortoise_mel_encode, _replace_file_extension
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audio_extension = ".mel"
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input_dataset = "LibriTTS_R"
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output_dataset = f"LibriTTS-Train-{'2' if cfg.sample_rate == 24_000 else '4'}4KHz"
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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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inpath = Path(f'./{input_dataset}/{dataset_name}/{speaker_id}/{book_id}/{filename}')
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outpath = Path(f'./{output_dataset}/{speaker_id}/{filename}')
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if ".wav" in filename: # and not _replace_file_extension(outpath, ".dac").exists():
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txts.append((
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inpath,
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outpath
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))
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for paths in tqdm(txts, desc="Processing..."):
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inpath, outpath = paths
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try:
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text = open(_replace_file_extension(inpath, ".original.txt"), "r", encoding="utf-8").read()
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mel = valle_quantize(_replace_file_extension(inpath, ".wav"), device=device)
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mel["text"] = text
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np.save(open(_replace_file_extension(outpath, audio_extension), "wb"), mel)
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except Exception as e:
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tqdm.write(f"Failed to process: {paths}: {e}")
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