MATLAB Code Implementation for Spectrogram Generation

In MATLAB, we can implement spectrograms using the following code. A spectrogram visually displays how the spectral characteristics of a speech signal evolve over time, providing valuable insights into signal features and variations. Below is the implementation example:

```matlab

% Load audio signal using audioread function

[y, Fs] = audioread('your_audio_file.wav');

% Compute spectrogram using Hamming window of 256 samples

% Parameters: 128-sample overlap, 256-point FFT, sampling frequency Fs

spectrogram(y, hamming(256), 128, 256, Fs, 'yaxis');

% Configure plot properties for better visualization

title('Spectrogram');

xlabel('Time');

ylabel('Frequency');

% Display colorbar to represent magnitude values

colorbar;

```

By executing this code, you can generate and display a spectrogram that enables detailed analysis of speech signal characteristics and temporal variations. The implementation uses MATLAB's built-in spectrogram function with optimized windowing and overlap parameters for clear frequency-time representation.