我获得权限错误：[Errno 13]读取通过multer保存语音后创建的文件夹中的文件时，权限被拒绝

Question

我在react中通过客户端上传音频，并使用multer将这些文件保存在服务器端的“public/uploads”文件夹中。然后基于这些音频，我想训练一个说话人识别模型。在该training_model.pypython脚本中，我给出了“public/uploads”文件夹的路径，在该文件夹中保存了用于培训模型的音频，但给出了： PermissionError: [Errno 13] Permission denied。 该文件夹的所有路径都保存在名为signupVoices.txt的文本文件中。我尝试使用os.access()查看权限，结果返回true。尝试更改文件夹的权限，并以管理员身份运行脚本。包含路径的txt文件也已成功读取

培训_model.py：

#import SpeechRecognition as sr
import pickle
import numpy as np
import os
from scipy.io.wavfile import read
from sklearn.mixture import GaussianMixture as GMM
# from sklearn.mixture import GMM
from feature_extraction import extract_features
import warnings
warnings.filterwarnings("ignore")

#path to training data
source   = "public/uploads"  
print( os.access('public/uploads', os.R_OK))
#path where training speakers will be saved
dest = "speaker_models/"
train_file = "signupVoices.txt"
for files in os.listdir("./public/uploads"):
  print (files)
file_paths = open(train_file,'r')

count = 1
# Extracting features for each speaker (5 files per speakers)
features = np.asarray(())
for path in file_paths:

    path = path.strip()
    path = path.replace('\\','/')
    print(source+path)
    # read the audio

    sr,audio = read(source+path)

#    sr = read(source + path)

    # extract 40 dimensional MFCC & delta MFCC features
    vector   = extract_features(audio,sr)

    if features.size == 0:
        features = vector
    else:
        features = np.vstack((features, vector))
    # when features of 5 files of speaker are concatenated, then do model training
    if count == 5:
        gmm = GMM(n_components = 16, max_iter = 200, covariance_type='diag',n_init = 3)
        gmm.fit(features)

        # dumping the trained gaussian model
        picklefile = path.split("-")[0]+".gmm"
        pickle.dump(gmm,open(dest + picklefile,'wb'))
        print('+ modeling completed for speaker:',picklefile," with data point = ",features.shape)
        features = np.asarray(())
        count = 0
    count = count + 1

我是机器学习的初学者