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A connected spoken word recognition algorithm by augmented continuous DP matching

Because utterance duration differs even for the same words spoken by the same person, normalization for time variances is essential in any pattern matching method of speech recognition. 
 
 
 
Several methods have been proposed to date but there have been some drawbacks. We present herein a word spotting method using endpolnt-free matching for input pattern with asymmetric DP path. A similar method proposed by Nakatsu et al. [8], is also discussed.