Title :
All-pole modelling of mixed excitation signals
Author :
Kabal, Peter ; Kleijn, Bastiaan
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
Conventional linear prediction (LP) techniques can fail to adequately model speech spectra when the model order is too low and/or when the input is periodic (voiced speech). We view the LP modelling problem as a correlation matching problem. We introduce a correlation matching criterion which models the signal as a filtered mixture of a noise-like excitation and a periodic excitation. As such it is an extension of the discrete all-pole (DAP) modelling approach. The new technique provides a means to generate LP spectra that evolve more smoothly from frame to frame even when the excitation signal has a periodic component with changing period
Keywords :
correlation methods; filtering theory; poles and zeros; prediction theory; spectral analysis; speech processing; speech synthesis; LP modelling; LP spectra generation; all-pole model; correlation matching; discrete all-pole modelling; excitation signal; linear prediction techniques; mixed excitation signals; noise-like excitation; periodic excitation; periodic input; periodic signals; signal filtering; signal model; speech spectra model; speech synthesis filter; voiced speech; Digital audio players; Equations; Matched filters; Predictive models; Signal analysis; Signal generators; Signal processing; Signal synthesis; Speech analysis; Speech synthesis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940776
