visualize music in matlab in matlab

To visualize music in Matlab, we can use a spectrogram which is a 2D representation of the signal's frequency content over time. We can use the built-in spectrogram function in Matlab to compute and display a spectrogram of an audio signal.

Here's an example code snippet that plots a spectrogram of an audio file in Matlab:

main.m
% Load the audio file
[s, Fs] = audioread('audio_file.wav');

% Define spectrogram parameters
window = hann(256);
noverlap = 128;
nfft = 512;

% Compute spectrogram
[S, F, T] = spectrogram(s, window, noverlap, nfft, Fs, 'yaxis');

% Plot spectrogram
imagesc(T, F, 20*log10(abs(S)));
axis xy;
xlabel('Time (s)');
ylabel('Frequency (Hz)');
colorbar;
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In this example, we first load an audio file using the audioread function (replace 'audio_file.wav' with the path to your audio file). We then define the parameters for the spectrogram computation (window size, overlap, and FFT size) and compute the spectrogram using the spectrogram function. Finally, we plot the spectrogram using the imagesc function, with the X axis representing time, the Y axis representing frequency, and the color representing the magnitude of the frequency content at each point in time.

Note that we use the hann window function to apply a window to the audio signal before computing the spectrogram. This helps to reduce spectral leakage and improve frequency resolution.