Robust DTW-based recognition algorithm for hand-held consumer devices

Abstract

This paper presents a new robust Dynamic Programming (DP)-based recognition algorithm that is quite suitable for menu-driven recognition applications with small vocabulary size (typically less than 50). When compared to the conventional Dynamic Time Warping (DTW)-based recognizer, the proposed algorithm shows significantly improved recognition accuracy in speaker-independent cases. In addition, when compared to the conventional Hidden Markov Model (HMM)-based recognizer, the proposed algorithm requires smaller computational amount and parameter file size, while maintaining almost the same recognition rate for command recognition applications with small vocabulary size in hand-held consumer devices.

DOI: 10.1109/TCE.2005.1468022

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Cite this paper

@article{Kim2005RobustDR, title={Robust DTW-based recognition algorithm for hand-held consumer devices}, author={Chanwoo Kim and Kwang-deok Seo}, journal={IEEE Trans. Consumer Electronics}, year={2005}, volume={51}, pages={699-709} }