PASS: a parallel speech understanding system

Author

Chung, Sang-Hye ; DeMara, Ronald F. ; Moldovan, Dan I.

Author_Institution

Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1993

fDate

1-5 Mar 1993

Firstpage

136

Lastpage

142

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

Keywords

knowledge based systems; natural language interfaces; parallel machines; parallel programming; speech processing; PASS; air traffic control domain; hierarchically-structured knowledge base; knowledge base; memory-based parsing techniques; natural language processing; parallel computational model; parallel machine; parallel speech understanding system; sentence recognition rate; word boundaries; Concurrent computing; Engines; Error analysis; Natural language processing; Natural languages; Parallel machines; Speech analysis; Speech processing; Speech recognition; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-8186-3840-0

Type

conf

DOI

10.1109/CAIA.1993.366650

Filename

366650