Linear Predictive Analysis

Linear Predictive Analysis (LPA) is a method used to estimate future data points based on past information. In speech processing, it models a speech signal by assuming each sound can be predicted from a combination of previous sounds, capturing the main features with a set of mathematical coefficients. This helps analyze and synthesize speech efficiently, making it useful in applications like compression, recognition, and voice synthesis. Essentially, LPA finds the best linear way to predict current data from previous data, simplifying complex signals while preserving essential information.