adding white Gaussian noise using matlab

2
votes

Add white Gaussian noise to your recorded voice signal, with a " spectrum that does not

conflict with your voice spectrum" (High frequency noise).

So for the above statment, does it means their magnitude should be the same?

I have added white Gaussian on my voice using matlab command :

noisyVoice = awgn(myVoice,1)

This is the graph of both my voice and the noisy voise ( the one with added white Gaussian noise) :

enter image description here

1
matlabnoise

1 Answers

1
votes

One solution is to filter the Gaussian noise and then modulate it to a specific frequency band.

Fs = 1000;
L = 500;
t = (0 : L-1)/Fs;
x = chirp(t,10,.5,100);
NFFT = 2^nextpow2(L); 
Y = fft(x,NFFT)/L;
f = Fs / 2 * linspace(0,1,NFFT/2+1);
subplot(211)
plot(f,2*abs(Y(1:NFFT/2+1))) 
title('Amplitude Spectrum of Noise-free Signal')
xlabel('Frequency (Hz)')
b = fir2(30,[0 2*50 2*50 Fs]/Fs,[1 1 0 0]);
n = randn(L, 1);
nb = filter(b,1,n);
newx = x + nb' .* cos(2*pi*300*t);         % x + modulated noise (Fc = 300Hz)
newY = fft(newx,NFFT)/L;
subplot(212)
plot(f,2*abs(newY(1:NFFT/2+1))) 
title('Amplitude Spectrum of Noisy Signal')
xlabel('Frequency (Hz)')

enter image description here

You should adjust the low-pass filter and modulation frequency with your data.