301. On Bernoulli-Gaussian process modeling of speech excitation source
- Author
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Kwang-Woo Lee, Iickho Song, Souguil Ann, and Byeong Gi Lee
- Subjects
Signal processing ,Excitation signal ,Computer science ,Pulse (signal processing) ,Gaussian ,Speech recognition ,Mathematical analysis ,Speech synthesis ,computer.software_genre ,Speech processing ,Linear predictive coding ,Speech enhancement ,symbols.namesake ,Bernoulli's principle ,Amplitude ,Autoregressive model ,symbols ,Probability distribution ,computer ,Gaussian process - Abstract
In the multipulse linear predictive coding (LPC) speech synthesis, an autoregressive filter is excited by a multipulse excitation consisting of impulses of various amplitudes and locations. The authors statistically model the excitation signal as a zero mean Bernoulli-Gaussian process. The pulse locations are independently distributed with a probability distribution, and the pulse amplitudes are expressed as a Gaussian sequence with zero mean and finite variance. An algorithm is described for estimation of pulse amplitudes and locations based on the Bernoulli-Gaussian process when the number of pulses is given. Results from computer simulation are presented. >
- Published
- 2002
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