Fundamental MATLAB Processing Programs for Speech Signal Processing

The fundamental process of speech signal processing consists of the following steps:

1. Reading speech waveforms (typically using audioread() function to import WAV files with proper sampling rate configuration)

2. Detecting voiced and unvoiced segments (implemented through spectral analysis or energy threshold algorithms to distinguish periodic vocal fold vibrations from noise-like sounds)

3. Applying windowing operations (using Hamming or Hanning windows with frame-based processing to reduce spectral leakage)

4. Calculating zero-crossing rate and short-time energy (computing signal variability metrics and energy contours using sliding window techniques for temporal analysis)

5. Finding maximum pitch values (employing autocorrelation or cepstrum methods to extract fundamental frequency peaks)

Finally, we provide a comprehensive test demonstration that showcases the practical implementation and visualization of these processing steps using MATLAB's plotting and analysis tools.