added Petha_Hsu_PitchOffset function
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src/Petha_Hsu_PitchOffset.m
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src/Petha_Hsu_PitchOffset.m
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% Petha_Hsu_PitchOffset: input a wave and pitch offset (in percentage)
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% This function takes a input sound signal and increases the pitch by the
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% offset percentage. The output is not 100% accurate. It is only an
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% estimation as the information we the function works with is very limited.
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% If 100% output is expected, more information like the frequency and type
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% of wave would be required. And the estimation only works for
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% f_offset > 0.5. Below 0.5, the output is problematic. Again, the output
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% is just a good estimation.
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% CONTRIBUTORS:
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% Pethaperumal Natarajan: I figured a way to increase the pitch of input
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% signal by using fourier transform and shifting the frequency using a for
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% loop. Then I used inverse transform to get a sound signal back in the time
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% domain.
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% Wesley Hsu: I helped solve the problem of being unable to lower frequency
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% for the loop using the floor function. This allowed rounding to maintain
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% the lower signals that were needed when the code returned the signal back
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% into the time domain.
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function y = Petha_Hsu_PitchOffset(x, f_offset)
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len = length(x);
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X = fft(x);
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X = fftshift(X); %Fourier transform the input wave
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Y = zeros(1, len);
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midpoint = len/2;
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for i = 1:len
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%Shifting the Fourier transform in frequency domain to adjust the
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%frequency of signal.
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%Floor function is used as signals must be integers and not
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%doubles.
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if floor((i - midpoint) / f_offset + midpoint) < 1 || floor((i - midpoint) / f_offset + midpoint) > len
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continue;
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end
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Y(i) = X(floor((i - midpoint) / f_offset + midpoint));
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end
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%Plotted graphs to troubleshoot the problem.
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%Fs = 44800;
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%f = Fs *(-len/2 : len/2 -1) / len;
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%tiledlayout(1,3); nexttile;
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%plot(f, abs(X)); title("input"); nexttile;
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%plot(f, abs(Y)); title("output"); nexttile;
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Y = fftshift(Y);
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y = ifft(Y);
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y = real(y);
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end
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