I am following a YT course to work on the urban 8k data set which uses torch audio. The author wrote the exact same code but was able to get an output while I get a error.

The following is the error I get:

RuntimeError: Couldn’t find appropriate backend to handle uri C:UsershbhavnagDocumentsHussainASUcollision detectionurban soundsUrbanSound8Kaudio5100263-2-0-121.wav and format None.

Following is my code

`from torch.utils.data import Dataset
import pandas as pd
import torchaudio
import os

class UrbanSoundDataset(Dataset):

def __init__(self,annotation_file,audio_dir):
    self.annotations = pd.read_csv(annotation_file)
    self.audio_dir = audio_dir

def __len__(self):
    return len(self.annotations)

def __getitem__(self, index):
    audio_sample_path = self._get_audio_sample_path(index)
    label = self._get_audio_sample_label(index)
    signal, sr = torchaudio.load(audio_sample_path)
    return signal, label

def _get_audio_sample_path(self,index):
    fold = f"fold{self.annotations.iloc[index,5]}"
    path = os.path.join(self.audio_dir, fold, self.annotations.iloc[index,0])
    return path

def _get_audio_sample_label(self, index):
    return self.annotations.iloc[index,6]

if __name__ == "__main__":
    annotations_file = r"C:UsershbhavnagDocumentsHussainASUcollision detectionurban soundsUrbanSound8KmetadataUrbanSound8K.csv"
    audio_dir = r"C:UsershbhavnagDocumentsHussainASUcollision detectionurban soundsUrbanSound8Kaudio"
    usd = UrbanSoundDataset(annotations_file, audio_dir)
    print (f"There are {len(usd)} samples in the dataset")

signal, label = usd[2]`

I tried looking up the documentation for torch audio but was not sure if anything directly there was able to help me, I am assuming there are some version compatibility issues.

I am using windows