Acoustic modeling of subword units for speech recognition

Author

Lee, Chin-Hui ; Rabiner, Lawrence ; Pieraccini, Roberto ; Wilpon, Jay

Author_Institution

AT&T Bell Lab., Murray Hill, NJ, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

721

Abstract

Acoustic modeling method of basic speech subword units are discussed to provide high word recognition accuracy. It is shown that for a basic set of 47 context-independent phone-like units, word accuracies on the order of 86-90% can be obtained for a 1000-word vocabulary, in a speaker-independent mode, for a grammar with a perplexity of 60, on independent test sets. When the basic set of units is increased to include context-dependent units, word recognition accuracies of from 91 to 93% can be achieved on the same test sets. Based on outside results and some of the present ones, it is possible to increase word recognition accuracies by about 2-3% using known modeling techniques

Keywords

grammars; speech recognition; acoustic modelling; context-dependent units; context-independent phone-like units; grammar; speech recognition; subword units; Acoustic measurements; Cepstral analysis; Context modeling; Hidden Markov models; Loudspeakers; Pattern recognition; Speech analysis; Speech recognition; System performance; Testing; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115885

Filename

115885