DocumentCode :
2019867
Title :
New techniques for speech understanding
Author :
Bianchini, P. ; Ferragina, P. ; Granieri, M. Notturno ; Tarricone, L.
Author_Institution :
IBM SEMEA, Rome, Italy
Volume :
2
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
127
Abstract :
A standard semantic analyzer accepting dictated sentences belonging to a grammar is used in a vocal information retrieving system. The problems of managing sentences not in the grammar and errors from the speech recognizer are addressed. Three different methods are proposed, based, respectively, on alignment techniques, conceptual categories (CCs), and neural networks. To test and compare the three approaches, several benchmarks were run. Each benchmark is specific for a kind of query sentence category: in-grammar with recognition errors, out-of-grammar with no recognition errors, etc. It is concluded that the CCs extraction phase combined with the neural approach for evaluating logical rules leads to a solid speech understanding system.<>
Keywords :
dictation; grammars; neural nets; performance evaluation; query processing; speech recognition; alignment techniques; benchmarks; conceptual categories; dictated sentences; grammar; logical rules; neural networks; query sentence category; semantic analyzer; speech recognizer; speech understanding; vocal information retrieving system;
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.1993.319248
Filename :
319248
Link To Document :
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