Split Audio File into Frequency Ranges

How do I read and split an audio file into four different frequency ranges?

sangeet sagar asked: 2024-03-09 signal processing , speech , Audio Toolbox , Audio Processing Algorithm Design

Learn how to read an audio file in MATLAB and split it into four distinct frequency ranges with our expert guide. Get started analyzing your audio data today!

Expert Answer

John Michell answered . 2025-06-28 20:02:46

If you have R2018a or later, use the bandpass (link) function on your original signal, each with different passband limits.

If you have an earlier version, use ellipord (link) and ellip (link), that together are almost as easy.

The first filter is a simple lowpass filter with a passband a 1 kHz. You can use this prototype code to design it.

This designs the second filter:

Fs = 1.6E+4;                                                % Sampling Frequency (Hz)
Fn = Fs/2;                                                  % Nyquist Frequency (Hz)
Fnotch = 1.5E3;                                             % Notch Frequency (Hz)
BW = 1E+3;                                                  % Passband Width (Hz)
Ws = [Fnotch-BW/2-1 Fnotch+BW/2+1]/Fn;                      % Passband Frequency Vector (Normalised)
Wp = [Fnotch-BW/2-5 Fnotch+BW/2+5]/Fn;                      % Stopband Frequency Vector (Normalised)
Rp =   1;                                                   % Passband Ripple (dB)
Rs = 150;                                                   % Stopband Attenuation (dB)
[n,Wp] = ellipord(Wp,Ws,Rp,Rs);                             % Default Here Is A Bandpass Filter
[z,p,k] = ellip(n,Rp,Rs,Wp);
[sos,g] = zp2sos(z,p,k);                                    % Use Second-Order-Section Implementation For Stability
% s_filtered = filtfilt(sos,g,s);                             % Filter Signal (Here: ‘s’)

figure
freqz(sos, 2^14, Fs)                                        % Bode Plot Of Filter
set(subplot(2,1,1), 'XLim',[0 Fn])                          % Optional, Change Limits As Necessary For Best Resolution
set(subplot(2,1,2), 'XLim',[0 Fn])                          % Optional, Change Limits As Necessary For Best Resolution

The others are the same except for the centre frequencies and the bandwidths.

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