An experimental field trial of a large vocabulary speaker independent recognition system

Author

Koo, Myoung-Wan ; Sohn, Il-Hyun ; Ahn, Che-Hong

Author_Institution

Software Res. Labs., Korea Telecom, Seoul, South Korea

fYear

1994

fDate

26-27 Sep 1994

Firstpage

33

Lastpage

36

Abstract

Presents a large vocabulary, speaker independent speech recognition system (KT-STOCK) and describes its experimental field trial over the telephone network. KT-STOCK is an information retrieval system with which one can obtain the current price of a stock by saying a stock name among 712 stock names listed on the Korea stock exchange. The system is a HMM (hidden Markov model)-based isolated speech recognizer which uses the phoneme-like unit as a basic unit. KT-STOCK has been put under experimental field trials since June 24 1994. Preliminary results show that the performance in the simulation environment is different from that in the real environment. Currently, the authors have achieved the recognition rate of 61.9% in the real environment

Keywords

database management systems; factographic databases; finance; hidden Markov models; information retrieval; natural languages; speech recognition; stock markets; telephone networks; telephony; KT-STOCK; Korea stock exchange; experimental field trial; hidden Markov model based isolated speech recognizer; information retrieval system; large vocabulary speaker independent recognition system; performance; phoneme-like unit; recognition rate; telephone network; Application software; Automatic speech recognition; Databases; Digital signal processing; Feature extraction; Speech recognition; Stock markets; Telecommunications; Telephony; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Interactive Voice Technology for Telecommunications Applications, 1994., Second IEEE Workshop on

Conference_Location

Kyoto

Print_ISBN

0-7803-2074-3

Type

conf

DOI

10.1109/IVTTA.1994.341549

Filename

341549