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Y[n] = X[n] + a * X[n – D] | Y[n] = X[n] + a * X[n – D] | ||
Where: | Where: | ||
+ | |||
X[n] : input signal | X[n] : input signal | ||
+ | |||
Y[n]: output signal | Y[n]: output signal | ||
+ | |||
D : number of samples during delay | D : number of samples during delay | ||
+ | |||
a : attenuation coefficient. |a| < 1 | a : attenuation coefficient. |a| < 1 | ||
==== % Matlab code ==== | ==== % Matlab code ==== | ||
− | [x,fs] = wavread(‘singsing.wav’); | + | [x,fs] = wavread(‘singsing.wav’); % load the music and get the sampling frequency |
− | length = size(x); | + | |
− | a = 0.3; | + | length = size(x); % get the length of the music file |
+ | |||
+ | a = 0.3; % set the attenuation factor | ||
+ | |||
delay = 0.38; | delay = 0.38; | ||
− | |||
− | y = zeros(length); | + | D = delay*fs; % set the delay time in s |
+ | |||
+ | y = zeros(length); % initialize the output music signal | ||
+ | |||
for i = D + 1 : 1 : length; | for i = D + 1 : 1 : length; | ||
+ | |||
y(i) = x(i) + a*x(i-D); | y(i) = x(i) + a*x(i-D); | ||
+ | |||
end; | end; | ||
− | sound(y, fs); | + | |
+ | sound(y, fs); % play the echo | ||
+ | |||
Example: | Example: | ||
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Y[n] = X[n] + a * X[ n – D[n] ] | Y[n] = X[n] + a * X[ n – D[n] ] | ||
− | ==== %Matlab code: ==== | + | ==== % Matlab code: ==== |
[y, fs, nbits] = wavread(file); %Reading the file | [y, fs, nbits] = wavread(file); %Reading the file | ||
− | + | low_n = round(0.0*fs); %Creating the vector according to which delay is varied | |
+ | |||
high_n = round(0.0057*fs); | high_n = round(0.0057*fs); | ||
− | + | delay_vary_p = 8; | |
delay_step = (delay_vary_p/4)/(1/fs); | delay_step = (delay_vary_p/4)/(1/fs); |
Revision as of 21:25, 29 November 2015
1.Introduction
In this section, you will learn how to use the signal processing technique in Matlab to add several sound effects to music. I will introduce three basic sound effects, namely, echo, flanger and chorus.
2.Echo effect
The fundamental theory behind the echo effect is that the original music signal combines with its repeated signal with a fixed delay period. This effect can be achieved by implementing a comb filter. The difference equation for this simple comb filter can be written as follows:
Y[n] = X[n] + a * X[n – D]
Where:
X[n] : input signal
Y[n]: output signal
D : number of samples during delay
a : attenuation coefficient. |a| < 1
% Matlab code
[x,fs] = wavread(‘singsing.wav’); % load the music and get the sampling frequency
length = size(x); % get the length of the music file
a = 0.3; % set the attenuation factor
delay = 0.38;
D = delay*fs; % set the delay time in s
y = zeros(length); % initialize the output music signal
for i = D + 1 : 1 : length;
y(i) = x(i) + a*x(i-D);
end;
sound(y, fs); % play the echo
Example:
3.Flanger effect
The flanging effect is produced by mixing two identical music signals with a varying delay function. Unlike the fixed delay D in the comb filter, the flanger filter has a non-constant delay D, which changes periodically. The difference equation for this simple comb filter can be written as follows:
Y[n] = X[n] + a * X[ n – D[n] ]
% Matlab code:
[y, fs, nbits] = wavread(file); %Reading the file
low_n = round(0.0*fs); %Creating the vector according to which delay is varied
high_n = round(0.0057*fs);
delay_vary_p = 8;
delay_step = (delay_vary_p/4)/(1/fs);
delay_1 = round(linspace(low_n,high_n,delay_step));
delay_2 = round(linspace(high_n,low_n,delay_step));
delay = [delay_1 delay_2];
no_points = length(y(:,1));
n_rep = round(no_points/length(delay));
delay = repmat(delay,1,n_rep);
delay = [delay delay(1:no_points-length(delay))];
out_wav(:,1) = zeros(1,no_points);
out_wav(:,2) = zeros(1,no_points);
for i=1:no_points
n = i-delay(i);
if n>0
out_wav(i,1) = y(i,1)+y(n,1);
out_wav(i,2) = y(i,2)+y(n,2);
else
out_wav(i,1) = y(i,1);
out_wav(i,2) = y(i,2);
end
end