DocumentCode :
3063381
Title :
Visual speech signal representations according to an articulatory model based on X-ray motion films
Author :
Chengyi, Wen ; Nan, Chen ; Yufu, Zhang
Author_Institution :
Xidian Univ., Xi´´an, China
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
615
Lastpage :
618
Abstract :
A novel technique of visual-speech signal representations on X-ray motion films is proposed. The graphic implementation of the dynamic model is reconstructed from videotaped midsagittal X-ray motion films of the articulators during natural speech production of standard Chinese. An intelligent image processing technique is presented for quantizing the articulatory space and for describing the articulatory movements. The authors process separately counters of the motion picture by means of an edge detection and edge displacement analysis, which leads to a new class of intelligent coding methods capable of achieving compression ratio as high as 64:1. Based on this model a computer-aided instruction system of standard-Chinese language is established, in which the amount of data for 107 syllables is as low as 5 kbytes. The CAI system is briefly introduced
Keywords :
computer aided instruction; data compression; edge detection; image coding; image sequences; speech analysis and processing; speech recognition; CAI; Chinese language; articulatory model; edge detection; edge displacement; image coding; intelligent image processing; midsagittal X-ray motion films; speech recognition; speech synthesis; visual-speech signal representations; Computer aided instruction; Graphics; Image coding; Image edge detection; Image processing; Image reconstruction; Natural languages; Signal representations; Speech; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.202062
Filename :
202062
Link To Document :
بازگشت