Perceptual Linear Prediction

Perceptual Linear Prediction (PLP) is an acoustic feature extraction technique used in speech processing that models human auditory perception. PLP analysis applies psychoacoustic principles including critical band frequency resolution, equal-loudness pre-emphasis, and intensity-to-loudness compression to create speech representations that better match how humans perceive sound. In accessibility applications, PLP features are commonly used in automatic speech recognition systems, intelligibility assessment tools, and dysarthric speech analysis, where capturing perceptually relevant acoustic information helps systems better handle atypical speech patterns.