Remove background noise from audio file (python or matlab)

I am implementing a project for infant cry detection and the audio set contains background noises. So for preprocessing i need to remove the background noise from the audio.I am not able to get a proper output for the code in jupyter notebook. For this code the output file does not contain anything even the baby cry is erased.

import numpy as np  
import scipy as sp  
from scipy.io.wavfile import read  
from scipy.io.wavfile import write     
from scipy import signal  
import matplotlib.pyplot as plt  

get_ipython().magic('matplotlib inline')  

(Frequency, array) = read('cry.wav')  

len(array)  

plt.plot(array)   
plt.title('Original Signal Spectrum')  
plt.xlabel('Frequency(Hz)')  
plt.ylabel('Amplitude')  


FourierTransformation = sp.fft(array)  

scale = sp.linspace(0, Frequency, len(array))  

plt.stem(scale[0:5000], np.abs(FourierTransformation[0:5000]), 'r')    
plt.title('Signal spectrum after FFT')  
plt.xlabel('Frequency(Hz)')  
plt.ylabel('Amplitude')  



GuassianNoise = np.random.rand(len(FourierTransformation))  


NewSound = GuassianNoise + array  

write("New-Sound-Added-With-Guassian-Noise.wav", Frequency, NewSound)  

b,a = signal.butter(5, 1000/(Frequency/2), btype='highpass')  


filteredSignal = signal.lfilter(b,a,NewSound)  
plt.plot(filteredSignal) # plotting the signal.  
plt.title('Highpass Filter')  
plt.xlabel('Frequency(Hz)')  
plt.ylabel('Amplitude')  


c,d = signal.butter(5, 380/(Frequency/2), btype='lowpass') # ButterWorth low-filter  
newFilteredSignal = signal.lfilter(c,d,filteredSignal) # Applying the filter to the signal  
plt.plot(newFilteredSignal) # plotting the signal.  

plt.title('Lowpass Filter')  
plt.xlabel('Frequency(Hz)')  
plt.ylabel('Amplitude')  

write("New-Filtered-Sound.wav", Frequency, newFilteredSignal)  

Can i know how to debug this code or get any other code.