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

摘要

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.