问我找不到一种方法将我的wav文件用作PyTorch中的数据集

EN

import torch
from torch import nn, optim
import torch.nn.functional as F
import torchaudio

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

from torchaudio.datasets import SPEECHCOMMANDS
import os

class SpeechSubset(SPEECHCOMMANDS):
    def __init__(self, subset, str=None):
        super().__init__("./", download=True)
        
        def load_list(filename):
            filepath = os.path.join(self._path, file.name)
            with open(filepath) as fileob:
                return [os.path.join(self._path, line.strip())]
            
        if subset == "validation":
            self._walker = load_list("validation_list.txt")
        elif subset == "testing":
            self._walker = load_list("testing_list.txt")
        elif subset == "training":
            excludes = load_list("validation_list.txt") + load_list("testing_list.txt")
            excludes = set(excludes)
            self._walker = [w for w in self._walker if w not in excludes]
            
train_set = SpeechSubset("training")
test_set = SpeechSubset("testing")

waveform, sample_rate, label, speaker_id, utterance_number = train_set[0]