static.py

import librosa
import matplotlib.pyplot as plt
from dtw import dtw
import scipy.io.wavfile as wav
import librosa.display
import librosa


#Loading audio files
y1, sr1 = librosa.load('testaudio1.wav')
y2, sr2 = librosa.load('testaudio2.wav')
# sr1, y1 = wav.read("testaudio1.wav")
# sr2, y2 = wav.read("testaudio1.wav")
#Showing multiple plots using subplot
plt.subplot(1, 2, 1)
mfcc1 = librosa.feature.mfcc(y1,sr1)   #Computing MFCC values
librosa.display.specshow(mfcc1)

plt.subplot(1, 2, 2)
mfcc2 = librosa.feature.mfcc(y2, sr2)
librosa.display.specshow(mfcc2)

d = lambda x,y: abs(x-y)
dist, cost, path = dtw(mfcc1.T, mfcc2.T,d)
print("The normalized distance between the two : ",dist)   # 0 for similar audios

plt.imshow(cost.T, origin='lower', cmap=plt.get_cmap('gray'), interpolation='nearest')
plt.plot(path[0], path[1], 'w')   #creating plot for DTW

plt.show() #To display the plots graphically