MATLAB-Based Audio Signal Spectrum Analyzer

In this article, we present the source code for an audio signal spectrum analyzer developed using MATLAB. The spectrum analyzer decomposes audio signals into different frequency components to better understand their characteristics. To achieve this, we demonstrate key MATLAB techniques and functions including Fast Fourier Transform (FFT) algorithms for frequency domain conversion and digital filter design using functions like fir1() or butter() for signal preprocessing. The implementation covers practical approaches for handling real-time audio data through MATLAB's audioread() function and visualizing frequency spectra using plot() and spectrogram() functions. We also explore applications of these techniques in real-world audio processing projects such as speech recognition systems using MFCC feature extraction and audio compression algorithms. Through this tutorial, you will gain deep insights into audio spectrum analysis and master MATLAB programming skills for practical implementation in signal processing projects.