GUI-Based Time Domain and Spectral Analysis System for Speech Processing

The MATLAB-based GUI for speech signal processing serves as a powerful tool enabling comprehensive time domain analysis and spectral analysis, facilitating better understanding and manipulation of audio signals. Users can record audio inputs through built-in recording functions (implemented via MATLAB's `audiorecorder` object) and perform various analytical operations including time-domain waveform visualization using plotting functions like `plot()` and spectral analysis through Fast Fourier Transform (FFT) algorithms implemented with `fft()` function. The system displays both time-domain graphs showing amplitude versus time characteristics and frequency-domain spectrograms revealing spectral components, allowing users to deeply investigate signal features and properties. Through analytical processing techniques such as digital filtering (using `filter()` function) and spectral modification, users can enhance audio quality and effects. This tool proves particularly valuable for audio engineers implementing signal processing chains, music producers analyzing acoustic properties, and speech processing researchers developing algorithms, providing them with robust analytical capabilities to achieve superior results in their professional work. The GUI framework typically utilizes MATLAB's App Designer or GUIDE toolkit for interface development, incorporating callback functions for real-time signal processing operations.