Title :
Pitch predictive vector quantisation of speech waveform
Author :
Lowry, A. ; Hossain, S.Q.A.M.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Queen´s Univ. of Belfast, UK
Abstract :
A coding algorithm is presented which combines pitch prediction with low-dimensional vector quantisation to exploit both long- and short-term correlation in the speech waveform at rates of 16 and 9.6 kbit/s. Vector quantisation of the predictor enables the stability of the synthesis filter to be assured, and also allows the use of a minimum residual energy criterion. SNRs of 17-19 dB are achieved at 16 kbit/s and 13-15 dB at 9.6 kbit/s.
Keywords :
encoding; filtering and prediction theory; speech analysis and processing; 13 to 19 dB; 16 kbit/s; 9.6 kbit/s; SNR; coding algorithm; long-term correlation; low-dimensional vector quantisation; minimum residual energy criterion; pitch prediction; short-term correlation; speech processing; speech waveform; synthesis filter stability;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19891101
