In [5]:

    

import numpy as np
from matplotlib import pyplot as plt
from matplotlib import style
import IPython.display
import os
import random


    

In [6]:

    

from python_speech_features import mfcc
from python_speech_features import logfbank
import scipy.io.wavfile as wav


    

In [7]:

    

random.seed(42)


    

In [8]:

    

style.use('ggplot')
%matplotlib inline


    

In [9]:

    

data_dir = '../data/esc-50'
sample_dir = os.path.join(data_dir, 'sample')
train_dir = os.path.join(data_dir, 'train')
test_dir = os.path.join(data_dir, 'test')


    

In [ ]: