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How LPC Model Order Creates Formant Errors

The seed paper names formant estimation error among its own limitations, so students must know the concrete mechanism. Too few poles merges two neighbouring formants into one; too many invents spurious peaks; a high-pitched voice has widely spaced harmonics that undersample the envelope the model is trying to fit. This is the node that makes the paper's smallest heritability figures readable as possibly attenuated.

Questions this Concept answers

Why does setting the model order too low corrupt formant estimates?

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PDF Formant Analysis using LPC - University of Southern California

The page builds LPC formant analysis from multiple linear regression: predicting each speech sample from the previous M samples yields an inverse filter whose reciprocal approximates the vocal tract …