Speech recognition for DARPA Communicator

Author

Aaron, A. ; Chen, S. ; Cohen, P. ; Dharanipragada, S. ; Eide, E. ; Franz, M. ; LeRoux, J.-M. ; Luo, X. ; Maison, B. ; Mangu, L. ; Mathes, T. ; Novak, M. ; Olsen, P. ; Picheny, M. ; Printz, H. ; Ramabhadran, B. ; Sakrajda, A. ; Saon, G. ; Tydlitat, B. ; Vi

Author_Institution

IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

Volume

1

fYear

2001

fDate

2001

Firstpage

489

Abstract

We report the results of investigations in acoustic modeling, language modeling and decoding techniques, for the DARPA Communicator, a speaker-independent, telephone-based dialog system. By a combination of methods, including enlarging the acoustic model, augmenting the recognizer vocabulary, conditioning the language model upon the dialog state, and applying a post-processing decoding method, we lowered the overall word error rate from 21.9% to 15.0%, a gain of 6.9% absolute and 31.5% relative

Keywords

acoustic signal processing; decoding; interactive systems; natural languages; speech coding; speech recognition; telephony; travel industry; DARPA Communicator; acoustic modeling; language modeling; post-processing decoding; recognizer vocabulary; speaker-independent dialog system; speech recognition; telephone-based dialog system; travel agent; word error rate reduction; Acoustic testing; Decoding; Error analysis; Humans; Loudspeakers; NIST; Natural languages; Speech recognition; Training data; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940874

Filename

940874