Integrating semantic constraints into the Sphinx-II recognition search

Author

Ward, Wayne ; Issar, Sunil

Author_Institution

Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

ii

fYear

1994

fDate

19-22 Apr 1994

Abstract

This paper describes a novel recursive transition network (RTN) speech decoder designed for robust processing of spontaneous spoken input. The system uses both stochastic and rule-based methods to constrain the recognition search. It is based on the multi-pass search used by the Sphinx-II speech decoder developed at Carnegie Mellon. We describe the basic decoder and system architectures and compare the system to our current loosely coupled system on spontaneous spoken dialogs from the DARPA air travel (ATIS) task

Keywords

decoding; knowledge based systems; recursive estimation; speech coding; speech recognition; stochastic processes; DARPA air travel task; Sphinx-II recognition search; loosely coupled system; multi-pass search; recursive transition network; robust processing; rule-based methods; semantic constraints; speech decoder; spontaneous spoken dialogs; spontaneous spoken input; stochastic methods; system architecture; Computer science; Decoding; Humans; Natural languages; Process design; Robustness; Speech processing; Speech recognition; Stochastic processes; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389729

Filename

389729