Issues in Clinical Applications of Bilateral Multi-step Predictive Analysis of Speech

摘要

The article concerns methodological problems posed by multi-step predictive analysis of speech, carried out with a view to estimating vocal dysperiodicities. Problems that are discussed are the following. First, the stability of the multi-step predictive synthesis filter; second, the decrease of quantization noise by means of multiple prediction coefficients; third, the implementation of multi-step predictive analyses via lattice filters; fourth, the adequacy per se of the multi-step predictive analysis paradigm for estimating vocal dysperiodicities. Results suggest that implementations of multi-step predictive analyses that are considered to be optimal for speech coding are sub-optimal for clinical applications and vice versa. Also, multi-step predictive analyses as such do not appear to be under all circumstances a paradigm adequate for analysing vocal dysperiodicities unambiguously. An alternative is discussed, which is based on a generalized variogram of the speech signal.