Title :
A new algorithm for parameter re-optimization in multi-pulse excitation LP synthesizer
Author :
Chen, Yining ; Wang, Penghao ; Liu, Jia ; Liu, Runsheng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
A new algorithm is proposed to re-optimize the synthesis filter parameters and pulse amplitudes in the Multi-Pulse Excitation Linear Prediction (LP) synthesizer. It is based on minimizing the perceptional weighted mean square errors between the original and the reconstructed speech. Steepest gradient descent and conjugate gradient descent are employed. The LP filter parameters and all the pulse amplitudes are iteratively re-optimized. Compared with the conventional multi-pulse excitation LPC algorithm, the new algorithm improves the segmental signal-to-noise ratio (SEGSNR) from about 20 dB to 23 dB. The informal listening also shows that the quality of synthesized speech is improved greatly
Keywords :
conjugate gradient methods; filtering theory; gradient methods; mean square error methods; prediction theory; speech synthesis; 23 dB; LP filter parameters; conjugate gradient descent; linear prediction synthesizer; multi-pulse excitation LP synthesizer; parameter re-optimization; pulse amplitudes; reconstructed speech; segmental SNR; segmental signal/noise ratio; steepest gradient descent; synthesis filter parameters; synthesized speech; weighted mean square errors; Autocorrelation; Electronic mail; Equations; Iterative algorithms; Linear predictive coding; Mean square error methods; Nonlinear filters; Signal synthesis; Speech synthesis; Synthesizers;
Conference_Titel :
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location :
Tianjin
Print_ISBN :
0-7803-6253-5
DOI :
10.1109/APCCAS.2000.913561
