DocumentCode :
3311489
Title :
Fast decoder design of connected word speech recognition for automobile navigation system
Author :
Jeong, Seokyeong ; Min, Kyoung Won ; Ko, Hanseok
Author_Institution :
Dept. of Visual Inf. Process., Korea Univ., Seoul, South Korea
fYear :
2006
fDate :
7-11 Jan. 2006
Firstpage :
215
Lastpage :
216
Abstract :
This paper presents efficient decoder techniques for use in a large vocabulary connected word speech recognition system that is designed to operate in an automobile navigation platform. In particular, we introduce a two-pass search technique that can handle a large vocabulary list at a high speed. Essentially, both the 1st and 2nd passes share the identical acoustic model that makes it possible to significantly reduce the amount of computational load in the 2nd pass. Also, efficient implementation techniques for embedded platforms are presented for realizing a high-speed speech recognizer design suitable for automobile navigation system.
Keywords :
automobiles; decoding; navigation; speech coding; speech recognition; vocabulary; acoustic model; automobile navigation system; fast decoder design; high-speed speech recognizer; two-pass search technique; vocabulary connection; word speech recognition; Automobiles; Decoding; EMP radiation effects; Electrons; Hidden Markov models; Ice; Navigation; Speech recognition; Tellurium; Tin; automobile navigation system; embedded system; fast decoder design; speech recognition; two-pass search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-9459-3
Type :
conf
DOI :
10.1109/ICCE.2006.1598387
Filename :
1598387
Link To Document :
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