The SPHINX speech recognition system

Author

Lee, Kai-Fu ; Hon, Hsiao-Wuen ; Hwang, Mei-Yuh ; Mahajan, S. ; Reddy, Raj

Author_Institution

Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA

fYear

1989

fDate

23-26 May 1989

Firstpage

445

Abstract

A description is given of SPHINX an accurate large-vocabulary speaker-independent continuous speech recognition system. The authors have made several recent enhancements, including generalized triphone models, word duration modeling, function-phrase modeling, between-word coarticulation modeling, and corrective training. On the 997-word resource management task, SPHINX attained a word accuracy of 96% with a grammar (perplexity 60), and 82% without grammar (perplexity 997)

Keywords

speech recognition; SPHINX; between-word coarticulation modeling; continuous speech recognition system; corrective training; function-phrase modeling; generalized triphone models; large vocabulary recognition; perplexity; speaker independent recognition; word duration modeling; Cepstral analysis; Computer science; Filters; Hidden Markov models; Linear predictive coding; Management training; Prototypes; Resource management; Speech recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.266459

Filename

266459

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3522501