Training Keyword Model for HMM Based Word Spotting System with Multiple Number of Samples
Zongge Li · Jisuanji gongcheng · 2001
The training of keyword models is a pivotal problem for HMM based keyword spotting systems. In this paper we compare the performance of different keyword model sets trained with different number of samples. By studying the results we manage to gain the best performance. ;;