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import torch
from torch.utils.data import Dataset, random_split, DataLoader, TensorDataset
import torchvision
import torch.nn as nn
import torch.nn.functional as F
import tarfile
import os
import librosa
import pandas as pd
import numpy as np
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import librosa.display
import sklearn
import matplotlib
import csv
from PIL import Image
from tqdm.notebook import tqdm
from sklearn.metrics import f1_score

#Data

digit = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine']

#Dataset

Spoken_mnist_finalfts.csv is generated in 'Spokenmnist feature extraction.ipynb'.