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. ?? Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Schoentgen, J., Dessalle, E., Kacha, A., & Grenez, F. (2005). Issues in clinical applications of bilateral multi-step predictive analysis of speech. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3817 LNAI, pp. 196–205). https://doi.org/10.1007/11613107_17
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