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
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;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181121
