DocumentCode
390513
Title
GPC method in segment of Chinese continuous sentence
Author
Jing, Fan ; Huihua, Liu ; Hai, Sun
Author_Institution
Dept. of Inf. & Commun. Eng., Beijing Inf. Technol. Inst., China
Volume
1
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
576
Abstract
A new method for recognizing the start and the end of each word in a Chinese continuous sentence is discussed. We define a new recognition characteristic called periodic gradual change (PGC). A continuous speech sentence can be separated into many single words by a combination of the new method of PGC and other characteristics such as zero crossing rate (ZCR), instantaneous swing (E characteristic) and linear predictive coding (LPC) parameter. The recognition rate is improved for continuous speech segmentation by the new method.
Keywords
linear predictive coding; natural languages; speech processing; speech recognition; Chinese continuous sentence segmentation; E characteristic; LPC; instantaneous swing; linear predictive coding; periodic gradual change; recognition characteristic; zero crossing rate; Arithmetic; Autocorrelation; Character recognition; Information technology; Linear predictive coding; Speech enhancement; Speech processing; Speech recognition; Sun; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1181121
Filename
1181121
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