Title :
A model of LPC excitation in terms of eigenvectors of the autocorrelation matrix of the impulse response of the LPC filter
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
Abstract :
A description is presented of a framework for developing compact and accurate representation of LPC (linear predictive coding) excitation. In this representation, the excitation waveform is expressed as a linear combination of the eigenvectors of the autocorrelation matrix of the LPC filter´s impulse response. This representation allows a systematic study of changes in the filter excitation on the speech output. The author presents results on the precision that is necessary in the excitation without producing perceptible distortion in the output speech signal and an estimate of the minimum number of bits necessary for accurate reproduction of the excitation
Keywords :
eigenvalues and eigenfunctions; encoding; filtering and prediction theory; speech analysis and processing; speech synthesis; LPC excitation; LPC filter; autocorrelation matrix; eigenvectors; impulse response; linear predictive coding; singular value decomposition; speech output; speech synthesis; Autocorrelation; Bit rate; Encoding; Frequency; Human voice; Linear predictive coding; Nonlinear filters; Speech synthesis; Stochastic resonance; Vocoders;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266359
