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[ASR] 修复FasterWhisper遍历输入路径失败 (#956)

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* remove glob

* rename

* reset mirror pos
This commit is contained in:
SapphireLab 2024-04-15 23:47:39 +08:00 committed by GitHub
parent cb776229bb
commit 3124fcf497
2 changed files with 27 additions and 22 deletions
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42
tools/asr/fasterwhisper_asr.py
View File

@ -1,18 +1,16 @@
import argparse
import os
os.environ["HF_ENDPOINT"]="https://hf-mirror.com"
import traceback
import requests
from glob import glob
import torch
os.environ["HF_ENDPOINT"] = "https://hf-mirror.com"
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
import torch
from faster_whisper import WhisperModel
from tqdm import tqdm
from tools.asr.config import check_fw_local_models
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
language_code_list = [
"af", "am", "ar", "as", "az",
"ba", "be", "bg", "bn", "bo",
@ -36,7 +34,7 @@ language_code_list = [
"vi", "yi", "yo", "zh", "yue",
"auto"]
def execute_asr(input_folder, output_folder, model_size, language,precision):
def execute_asr(input_folder, output_folder, model_size, language, precision):
if '-local' in model_size:
model_size = model_size[:-6]
model_path = f'tools/asr/models/faster-whisper-{model_size}'
@ -50,17 +48,18 @@ def execute_asr(input_folder, output_folder, model_size, language,precision):
model = WhisperModel(model_path, device=device, compute_type=precision)
except:
return print(traceback.format_exc())
input_file_names = os.listdir(input_folder)
input_file_names.sort()
output = []
output_file_name = os.path.basename(input_folder)
output_file_path = os.path.abspath(f'{output_folder}/{output_file_name}.list')
if not os.path.exists(output_folder):
os.makedirs(output_folder)
for file in tqdm(glob(os.path.join(input_folder, '**/*.wav'), recursive=True)):
for file_name in tqdm(input_file_names):
try:
file_path = os.path.join(input_folder, file_name)
segments, info = model.transcribe(
audio = file,
audio = file_path,
beam_size = 5,
vad_filter = True,
vad_parameters = dict(min_silence_duration_ms=700),
@ -68,18 +67,23 @@ def execute_asr(input_folder, output_folder, model_size, language,precision):
text = ''
if info.language == "zh":
print("检测为中文文本,转funasr处理")
print("检测为中文文本, 转 FunASR 处理")
if("only_asr"not in globals()):
from tools.asr.funasr_asr import only_asr##如果用英文就不需要导入下载模型
text = only_asr(file)
from tools.asr.funasr_asr import \
only_asr # #如果用英文就不需要导入下载模型
text = only_asr(file_path)
if text == '':
for segment in segments:
text += segment.text
output.append(f"{file}|{output_file_name}|{info.language.upper()}|{text}")
output.append(f"{file_path}|{output_file_name}|{info.language.upper()}|{text}")
except:
return print(traceback.format_exc())
output_folder = output_folder or "output/asr_opt"
os.makedirs(output_folder, exist_ok=True)
output_file_path = os.path.abspath(f'{output_folder}/{output_file_name}.list')
with open(output_file_path, "w", encoding="utf-8") as f:
f.write("\n".join(output))
print(f"ASR 任务完成->标注文件路径: {output_file_path}\n")

7
tools/asr/funasr_asr.py
View File

@ -38,10 +38,11 @@ def execute_asr(input_folder, output_folder, model_size, language):
output = []
output_file_name = os.path.basename(input_folder)
for name in tqdm(input_file_names):
for file_name in tqdm(input_file_names):
try:
text = model.generate(input="%s/%s"%(input_folder, name))[0]["text"]
output.append(f"{input_folder}/{name}|{output_file_name}|{language.upper()}|{text}")
file_path = os.path.join(input_folder, file_name)
text = model.generate(input=file_path)[0]["text"]
output.append(f"{file_path}|{output_file_name}|{language.upper()}|{text}")
except:
print(traceback.format_exc())