Title :
Set-membership theory applied to linear prediction analysis of speech
Author :
Deller, J.R., Jr. ; Luk, T.C.
Author_Institution :
Northeastern University, Boston, MA
Abstract :
The theory of set membership (SM) identification is formulated, and applied to linear prediction (LP) analysis of speech. The LP parameters of a simulated vowel are identified as an illustration. The SM strategy results in a significant computational savings due to rejection of data which are informationless in the SM sense.
Keywords :
Covariance matrix; Digital signal processing; Equations; Laboratories; Least squares methods; Recursive estimation; Samarium; Speech analysis; Speech processing; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169574
