Research and improvement on embedded system application of DTW-based speech recognition

Author

Wan, Chun ; Liu, Lili

Author_Institution

Comput. Eng. Coll., JiMei Univ., Xiamen

fYear

2008

Firstpage

401

Lastpage

404

Abstract

Dynamic time warping (DTW) algorithm is one of the most popular mathematical models in the field of speech recognition. The algorithm is simple and effective. It is almost the same as HMM algorithm on speech recognition score and other characteristics, and it is widely applied to some special fields such as resource poor embedded system for its strong point of simple and effective algorithm. The paper describes an improved DTW-based speech recognition model, and shows a DTW-based application of portable value-added tax calculator with speaker-dependent connected-word and isolated-word speech recognition abilities built in.

Keywords

hidden Markov models; speech recognition; time warp simulation; DTW-based speech recognition; HMM algorithm; dynamic time warping algorithm; embedded system application; hidden Markov model; isolated-word speech recognition; portable value-added tax calculator; speaker-dependent connected-word; Acoustic noise; Acoustic pulses; Application software; Educational institutions; Embedded computing; Embedded system; Hidden Markov models; Speech recognition; Vocabulary; White noise; DTW; embedded system; isolated-word recognition; speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Anti-counterfeiting, Security and Identification, 2008. ASID 2008. 2nd International Conference on

Conference_Location

Guiyang

Print_ISBN

978-1-4244-2584-6

Electronic_ISBN

978-1-4244-2585-3

Type

conf

DOI

10.1109/IWASID.2008.4688414

Filename

4688414