Template Selection Method for Speaker-Independent Word Recognition
Original Publication Date: 1986-Aug-01
Included in the Prior Art Database: 2005-Mar-09
A method is proposed to select optimal templates for speaker-independent word recognition when there is confusion between clusters of different word categories. Conventional template selection methods for speaker-independent word recognition do not consider the effect of a neighboring word category [1, 2, 3]. The method described in  optimizes the templates by repeating recognition and removes the templates that are harmful for recognition. However, this method is time consuming. The proposed method makes the optimal selection of templates from the word categories with confusion in the following way: (1) Compute distance matrix by merging the utterances belonging to two or more categories with some confusion. The distance is normally computed by DP matching.