Title :
Speech coding via Balanced Model Truncation-a novel approach
Author :
Peláez, Carmen ; Kale, Izzet ; Malanda, Armando
Author_Institution :
Univ. Carlos III, Madrid, Spain
Abstract :
This paper reports on the novel application of the Balanced Model Truncation (BMT) technique to speech coding. Starting from a source-filter model of speech, we expose the use of BMT in coding the filter parameters, following the separation of speech from the excitation via homomorphic deconvolution. BMT fundamentals, details of a BMT driven speech coder, including related subsidiary improvements, together with some listening tests and comparisons are presented
Keywords :
cepstral analysis; deconvolution; filtering theory; speech coding; state-space methods; BMT driven speech coder; balanced model truncation; cepstral analysis; filter parameter coding; homomorphic deconvolution; listening tests; source-filter model; speech coding; state-space domain; Autoregressive processes; Deconvolution; Finite impulse response filter; IIR filters; Parameter estimation; Poles and zeros; Robustness; Speech coding; Testing; Transfer functions;
Conference_Titel :
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location :
Lisboa
Print_ISBN :
0-7803-5008-1
DOI :
10.1109/ICECS.1998.814080
