DocumentCode
290292
Title
Bimodal recognition experiments with recurrent neural networks
Author
Cosi, P. ; Caldognetto, E. Magno ; Vagges, K. ; Mian, G.A. ; Contolini, M.
Author_Institution
Centro di Studio per le Ricerche di Fonetica, CNR, Padova, Italy
Volume
ii
fYear
1994
fDate
19-22 Apr 1994
Abstract
A bimodal automatic speech recognition system, using simultaneously auditory model and articulatory parameters, is described. Results given for various speaker dependent phonetic recognition experiments, regarding the Italian plosive class, show the usefulness of this approach especially in noisy conditions
Keywords
medical image processing; natural languages; recurrent neural nets; speech processing; speech recognition; video signal processing; Italian plosive class; articulatory parameters; auditory model; bimodal automatic speech recognition system; noisy conditions; speaker dependent phonetic recognition experiments; Acoustic noise; Automatic speech recognition; Background noise; Degradation; Humans; Pathology; Recurrent neural networks; Shape; Speech enhancement; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location
Adelaide, SA
ISSN
1520-6149
Print_ISBN
0-7803-1775-0
Type
conf
DOI
10.1109/ICASSP.1994.389596
Filename
389596
Link To Document