DocumentCode
2020844
Title
Speech recognition using dynamical model of speech production
Author
Iso, Ken-ichi
Author_Institution
NEC Corp., Miyamae-ku, Kawasaki, Japan
Volume
2
fYear
1993
fDate
27-30 April 1993
Firstpage
283
Abstract
The model consists of an articulator and its control command sequences. The latter has linguistic information of speech and the former has the articulatory information which determines the transformation from linguistic intentions to speech signals. This separation allows the speech recognition model to be more controllable. It also provides new approaches to coarticulation modeling. The effectiveness of the proposed model was examined by speaker-independent letter recognition experiments.<>
Keywords
controllability; learning (artificial intelligence); neural nets; physiological models; speech recognition; articulator; coarticulation modeling; control command sequences; dynamical model of speech production; effectiveness; linguistic intentions; speaker-independent letter recognition; speech recognition model; speech signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319291
Filename
319291
Link To Document