DocumentCode :
323823
Title :
The challenge of domain-independent speech understanding
Author :
Moore, Robert C.
Author_Institution :
SRI Int., Menlo Park, CA, USA
Volume :
2
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
1045
Abstract :
To achieve widespread acceptance, speech understanding technology needs to be domain independent. Deep understanding, however, appears to require knowledge that is domain specific. Speech understanding technology, therefore, must be partitioned into domain-independent and domain-specific components. Development of domain-independent components could be promoted by creation of semantically annotated corpora. Any such corpus, however, would be difficult to produce and would necessarily be controversial because of lack of widespread agreement on principles of semantic analysis. The use of such a corpus for performance evaluation should therefore be left largely up to the research community rather than being imposed by funding agencies
Keywords :
linguistics; natural languages; speech recognition; corpus; domain-independent speech understanding; performance evaluation; semantic analysis; semantically annotated corpora; Application software; Benchmark testing; Computer vision; Floods; Natural languages; Speech recognition; Springs; System testing; Training data; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.675447
Filename :
675447
Link To Document :
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