PASS: a parallel speech understanding system
Chung, S.-H.
DeMara, R.F.
Moldovan, D.I.
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA;
This paper appears in: Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on
Publication Date: 1-5 Mar 1993
On page(s): 136-142
Meeting Date: 03/01/1993 - 03/05/1993
Location: Orlando, FL, USA
ISBN: 0-8186-3840-0
References Cited: 9
INSPEC Accession Number: 4851046
Digital Object Identifier: 10.1109/CAIA.1993.366650
Current Version Published: 2002-08-06
Abstract
The authors present a parallel computational model for the
integration of speech and natural language processing. The model adopts
a hierarchically-structured knowledge base and memory-based parsing
techniques. Processing is carried out by passing multiple markers in
parallel through the knowledge base. Speech-specific problems such as
insertion, deletion, substitution, and word boundaries have been
analyzed and their parallel solutions are provided. The complete system
has been implemented on a parallel machine and is operational. Results
show a 80% sentence recognition rate for the air traffic control domain.
A 10-fold speed-up can be obtained over an identical sequential
implementation with an increasing speed advantage as the size of the
knowledge base grows
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