Title :
New techniques for speech understanding
Author :
Bianchini, P. ; Ferragina, P. ; Granieri, M. Notturno ; Tarricone, L.
Author_Institution :
IBM SEMEA, Rome, Italy
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319248