Robust DTW-based recognition algorithm for hand-held consumer devices [speech recognition]

Author

Kim, Chanwoo ; Seo, Kwang-deok

Author_Institution

LG Electron. Inc., Seoul, South Korea

fYear

2005

fDate

8-12 Jan. 2005

Firstpage

433

Lastpage

434

Abstract

This work presents a new dynamic programming (DP)-based recognition algorithm that is quite suitable for menu-driven recognition applications with small vocabulary size (typically less than 50). In terms of computational complexity and parameter file size, the proposed algorithm shows improved results for a command recognition system with small vocabulary size than the conventional hidden Markov model (HMM)-based recognizer. In addition, the proposed algorithm shows much higher recognition accuracy compared to the conventional dynamic time warping (DTW)-based recognizer.

Keywords

dynamic programming; speech recognition; speech-based user interfaces; vocabulary; DTW-based recognition algorithm; computational complexity; dynamic programming; dynamic time warping recognizer; hand-held consumer devices; menu-driven recognition; parameter file size; recognition accuracy; small vocabulary size; speech recognition; Computational complexity; Dynamic programming; Engines; Hidden Markov models; Partitioning algorithms; Performance evaluation; Robustness; Speech recognition; Testing; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2005. ICCE. 2005 Digest of Technical Papers. International Conference on

Print_ISBN

0-7803-8838-0

Type

conf

DOI

10.1109/ICCE.2005.1429903

Filename

1429903