DocumentCode
2784482
Title
A modified speech analysis&synthesis system
Author
Zhong, Jiu-He ; Zhang, Yi-De
Author_Institution
Sch. of Opto-Electron. Inf., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2009
fDate
23-25 Oct. 2009
Firstpage
345
Lastpage
348
Abstract
Speech analysis and synthesis is an important technology in the audio processing. In this paper, a modified speech analysis and synthesis system is proposed. It adopts more abundant excitation signal which include smooth part and compensation impulse. The smooth part is the envelope curve of unvoiced sounds and the compensation impulse is represented by the peaks during pitch period. Compared with the single impulse that repeats with pitch period and the pure white noise, these signals can reflect the tone changes and characters in the period of original speech more accurately. And they make it possible for modified system to synthesize high quality speech by employing less order filter. The experimental result indicates that the modified system has advance in both speech quality and intelligibility without increasing much in code rate. For most speech, it has a good effect on recovery.
Keywords
audio signal processing; filtering theory; speech intelligibility; speech synthesis; white noise; audio processing; compensation impulse; curve envelope; excitation signal; high speech quality; less order filter; modified speech analysis; speech intelligibility; speech synthesis system; unvoiced sounds; white noise; Humans; Linear predictive coding; Mouth; Nonlinear filters; Predictive models; Signal processing; Signal synthesis; Speech analysis; Speech synthesis; White noise; Analysis and synthesis; excitation signal; pitch period; tone;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5204-0
Electronic_ISBN
978-1-4244-5206-4
Type
conf
DOI
10.1109/ICACIA.2009.5361083
Filename
5361083
Link To Document