147 lines
5.3 KiB
Python
147 lines
5.3 KiB
Python
import json
|
||
import os
|
||
from collections import defaultdict
|
||
from random import shuffle
|
||
from typing import Optional
|
||
|
||
import click
|
||
from tqdm import tqdm
|
||
|
||
from config import config
|
||
from text.cleaner import clean_text
|
||
from tools.stdout_wrapper import SAFE_STDOUT
|
||
|
||
preprocess_text_config = config.preprocess_text_config
|
||
|
||
|
||
@click.command()
|
||
@click.option(
|
||
"--transcription-path",
|
||
default=preprocess_text_config.transcription_path,
|
||
type=click.Path(exists=True, file_okay=True, dir_okay=False),
|
||
)
|
||
@click.option("--cleaned-path", default=preprocess_text_config.cleaned_path)
|
||
@click.option("--train-path", default=preprocess_text_config.train_path)
|
||
@click.option("--val-path", default=preprocess_text_config.val_path)
|
||
@click.option(
|
||
"--config-path",
|
||
default=preprocess_text_config.config_path,
|
||
type=click.Path(exists=True, file_okay=True, dir_okay=False),
|
||
)
|
||
@click.option("--val-per-lang", default=preprocess_text_config.val_per_lang)
|
||
@click.option("--max-val-total", default=preprocess_text_config.max_val_total)
|
||
@click.option("--clean/--no-clean", default=preprocess_text_config.clean)
|
||
@click.option("-y", "--yml_config")
|
||
def preprocess(
|
||
transcription_path: str,
|
||
cleaned_path: Optional[str],
|
||
train_path: str,
|
||
val_path: str,
|
||
config_path: str,
|
||
val_per_lang: int,
|
||
max_val_total: int,
|
||
clean: bool,
|
||
yml_config: str, # 这个不要删
|
||
):
|
||
if cleaned_path == "" or cleaned_path is None:
|
||
cleaned_path = transcription_path + ".cleaned"
|
||
|
||
if clean:
|
||
with open(cleaned_path, "w", encoding="utf-8") as out_file:
|
||
with open(transcription_path, "r", encoding="utf-8") as trans_file:
|
||
lines = trans_file.readlines()
|
||
# print(lines, ' ', len(lines))
|
||
if len(lines) != 0:
|
||
for line in tqdm(lines, file=SAFE_STDOUT):
|
||
try:
|
||
utt, spk, language, text = line.strip().split("|")
|
||
norm_text, phones, tones, word2ph = clean_text(
|
||
text, language
|
||
)
|
||
out_file.write(
|
||
"{}|{}|{}|{}|{}|{}|{}\n".format(
|
||
utt,
|
||
spk,
|
||
language,
|
||
norm_text,
|
||
" ".join(phones),
|
||
" ".join([str(i) for i in tones]),
|
||
" ".join([str(i) for i in word2ph]),
|
||
)
|
||
)
|
||
except Exception as e:
|
||
print(line)
|
||
print(
|
||
f"An error occurred while generating the training set and validation set! Details:\n{e}"
|
||
)
|
||
|
||
transcription_path = cleaned_path
|
||
spk_utt_map = defaultdict(list)
|
||
spk_id_map = {}
|
||
current_sid = 0
|
||
|
||
with open(transcription_path, "r", encoding="utf-8") as f:
|
||
audioPaths = set()
|
||
countSame = 0
|
||
countNotFound = 0
|
||
for line in f.readlines():
|
||
utt, spk, language, text, phones, tones, word2ph = line.strip().split("|")
|
||
if utt in audioPaths:
|
||
# 过滤数据集错误：相同的音频匹配多个文本，导致后续bert出问题
|
||
print(f"Same audio matches multiple texts: {line}")
|
||
countSame += 1
|
||
continue
|
||
if not os.path.isfile(utt):
|
||
# 过滤数据集错误：不存在对应音频
|
||
print(f"Audio not found: {utt}")
|
||
countNotFound += 1
|
||
continue
|
||
audioPaths.add(utt)
|
||
spk_utt_map[language].append(line)
|
||
if spk not in spk_id_map.keys():
|
||
spk_id_map[spk] = current_sid
|
||
current_sid += 1
|
||
print(
|
||
f"Total repeated audios: {countSame}, Total number of audio not found: {countNotFound}"
|
||
)
|
||
|
||
train_list = []
|
||
val_list = []
|
||
|
||
for spk, utts in spk_utt_map.items():
|
||
shuffle(utts)
|
||
val_list += utts[:val_per_lang]
|
||
train_list += utts[val_per_lang:]
|
||
|
||
shuffle(val_list)
|
||
if len(val_list) > max_val_total:
|
||
train_list += val_list[max_val_total:]
|
||
val_list = val_list[:max_val_total]
|
||
|
||
with open(train_path, "w", encoding="utf-8") as f:
|
||
for line in train_list:
|
||
f.write(line)
|
||
|
||
with open(val_path, "w", encoding="utf-8") as f:
|
||
for line in val_list:
|
||
f.write(line)
|
||
|
||
json_config = json.load(open(config_path, encoding="utf-8"))
|
||
json_config["data"]["spk2id"] = spk_id_map
|
||
json_config["data"]["n_speakers"] = len(spk_id_map)
|
||
# 新增写入：写入训练版本、数据集路径
|
||
# json_config["version"] = latest_version
|
||
json_config["data"]["training_files"] = os.path.normpath(train_path).replace(
|
||
"\\", "/"
|
||
)
|
||
json_config["data"]["validation_files"] = os.path.normpath(val_path).replace(
|
||
"\\", "/"
|
||
)
|
||
with open(config_path, "w", encoding="utf-8") as f:
|
||
json.dump(json_config, f, indent=2, ensure_ascii=False)
|
||
print("Training set and validation set generation from texts is complete!")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
preprocess()
|