MATLAB Program for Framing Continuous Speech Signals

In this documentation, we will demonstrate how to develop a MATLAB program for framing continuous speech signals. The primary objective is to partition continuous speech waveforms into multiple overlapping frames to facilitate subsequent speech processing and analysis. Through this framing process, we can extract both time-domain and frequency-domain characteristics from each frame, enabling more effective speech signal understanding and manipulation. The implementation utilizes essential MATLAB signal processing functions and algorithms to ensure accurate segmentation. Key components include: 1. Frame size determination based on sampling rate and desired frame duration (typically 20-30 ms) 2. Overlap calculation using hop size or overlap percentage parameters 3. Window function application (Hamming/Hann windows) to reduce spectral leakage 4. Buffer function or manual indexing for frame extraction The core algorithm involves sliding a window along the speech signal with specified overlap, where each frame's data is multiplied by the chosen window function. This approach minimizes discontinuities at frame boundaries while maintaining temporal and spectral integrity. Let's begin the implementation!