DocumentCode
2357657
Title
A two-level method using a decimation-in-degree algorithm for the computation of the LSP frequencies
Author
Chen, Jau-Hung ; Wu, Chung-Hsien ; Wang, Jhing-Fa
Author_Institution
Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
1994
fDate
5-8 Dec 1994
Firstpage
400
Lastpage
405
Abstract
A two-level method is proposed in this study for rapidly and accurately computing the line spectrum pair (LSP) frequencies. An efficient decimation-in-degree (DID) algorithm is also proposed in the first level which can transform any symmetric or antisymmetric polynomial with real coefficients into the other polynomials with lower degrees and without any transcendental functions. The DID algorithm not only can avoid prior storage or large calculation of transcendental functions but can also be easily applied towards those fast root-finding methods. In the second level, the Newton-Raphson method is applied. The process of the Newton-Raphson method can be accelerated by adopting a deflation scheme along with the interlacing property of LSP frequencies for selecting the better initial values. A few conventional numerical methods are also implemented to make a comparison with the two-level method. Experimental results indicate that the two-level method is the fastest one
Keywords
Newton-Raphson method; linear predictive coding; polynomials; spectral analysis; speech coding; DID algorithm; LSP frequencies; Newton-Raphson method; antisymmetric polynomial; decimation-in-degree algorithm; deflation scheme; line spectrum pair; linear predictive coding; root-finding methods; speech coding; two-level method; Acceleration; Discrete time systems; Finite impulse response filter; Frequency estimation; Information analysis; Linear predictive coding; Newton method; Polynomials; Speaker recognition; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. APCCAS '94., 1994 IEEE Asia-Pacific Conference on
Conference_Location
Taipei
Print_ISBN
0-7803-2440-4
Type
conf
DOI
10.1109/APCCAS.1994.514583
Filename
514583
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