Linear Predictive Analysis
Linear Predictive Analysis (LPA) stands as one of the most fundamental techniques in modern speech signal processing. It has significantly contributed to the rapid advancement of speech technology and finds extensive applications in speech analysis, synthesis, coding, and recognition. The method involves predicting future signal samples using a linear combination of past samples, typically implemented through algorithms like Levinson-Durbin recursion to solve autocorrelation equations efficiently.