Power Spectral Density Estimation of Speech Signals

This program is implemented in MATLAB for estimating the power spectral density of speech signals. It employs standard signal processing techniques to analyze the spectral distribution of speech signals, enabling the characterization of frequency properties and energy distribution patterns. The implementation likely utilizes periodogram or Welch's method for spectral estimation, potentially incorporating windowing functions (like Hamming or Hanning windows) and FFT operations to transform time-domain signals into frequency-domain representations. The primary design objective is to assist researchers and engineers in better understanding and analyzing speech signals, thereby enhancing the performance of speech processing and speech recognition systems. The code may include functions for signal preprocessing, spectral computation, and visualization of results through MATLAB's plotting capabilities. We hope this implementation proves beneficial for your audio signal analysis tasks.