C. Kim and K.-d. Seo: Robust DTW-based Recognition Algorithm for Hand-held Consumer Devices 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. Index Terms—dynamic programming, speech recognition, speech processing. I

10.4-2 Robust DTW-based Recognition Algorithm for Hand-held Consumer Devices

Aktrmt- This paper presents a new Dynamic Programming (DP)-based recognition algorithm that is quite suitable for menudriven recognition applications with small vocabulary size (typically less than SO). In terms of computational complexity and parameter file size, the proposed algorithm shows improved results for command recognition system with small vocabulary size than the conventional Hidden Markov Model (HMMhbased recognizer. In addition, the proposed algorithm shows much higher recognition accuracy compared to the conventional Dynamic Time Warpin