seperate music and vocals in imported audio in matlab

You can separate music and vocals in an audio file using the Non-negative Matrix Factorization (NMF) technique in MATLAB. This method utilizes spectrogram factorization to separate the audio into components such as music and vocals.

Here is a high-level overview of the steps involved:

1. Load the audio file using audioread() function.
2. Compute the short-time Fourier transform (STFT) of the audio signal using spectrogram() function.
3. Apply NMF on the magnitude spectrogram to obtain the music and vocals components separately.
4. Reconstruct the music and vocal signals using the learned basis and activation matrices.
5. Save the separated music and vocal signals if necessary.

Here is a snippet of MATLAB code to get you started:

main.m
% Load the audio file
[audio, fs] = audioread('your_audio_file.mp3');

% Compute the short-time Fourier transform
windowLength = 1024;
overlapLength = 512;
[S, freq, time] = spectrogram(audio, hamming(windowLength), overlapLength, windowLength, fs);

% Apply NMF
k = 2; % Number of components (music and vocal)
[W, H] = nnmf(abs(S), k);

% Reconstruct the music and vocal signals
music = W(:,1)*H(1,:);
vocals = W(:,2)*H(2,:);

% Save the separated audio signals if needed
audiowrite('music_separated.wav', music, fs);
audiowrite('vocals_separated.wav', vocals, fs);
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Please note that the success of this method depends on the audio signal's complexity and the parameters chosen for the NMF algorithm. It may require some parameter tuning and experimentation to achieve satisfactory separation results.