DocumentCode :
2731935
Title :
ARMA lattice model for speech analysis and synthesis
Author :
Kwan, H.K. ; Wang, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
912
Abstract :
In this paper, the use of the ARMA lattice model for glottal source excited pitch synchronous speech analysis and synthesis is presented. By modeling the vocal tract with the ARMA lattice model, the effect of the nasal cavity is modeled by the introduced zeros. Consequently, a higher quality speech could be synthesized. In so doing, the limitation due to the absence of zeros for modeling a nasal sound in the LP model is overcome. The ARMA lattice model under study is computational efficient and numerically stable, which is desirable for robust speech modeling applications. Simulation results are presented and compared with those of the LP model.
Keywords :
autoregressive moving average processes; speech processing; speech synthesis; autoregressive moving average lattice model; linear predictive model; nasal cavity; nasal sound; speech analysis; speech modeling; speech synthesis; vocal tract; Computational efficiency; Computational modeling; Digital filters; Lattices; Parameter estimation; Poles and zeros; Robustness; Speech analysis; Speech processing; Speech synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1280748
Filename :
1280748
Link To Document :
بازگشت