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 :
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