음성적응(音聲適應) 구간분할(區間分割) 멀티섹션 코드북을 이용(利用)한 고립단어인식(孤立單語認識)

Isolated-Word Recognition Using Adaptively Partitioned Multisection Codebooks

An isolated-word recognition method using adaptively partitioned multisection codebooks is proposed. Each training utterance was divided into several sections according to its pattern extracted by labeling technique. For each pattern, reference codebooks were generated by clustering the training vectors of the same section. In recognition procedure, input speech was divided into the sections by the same method used in codebook generation procedure, and recognized to the reference word whose codebook represented the smallest average distortion. The proposed method was tested for 100 Korean words and attained recognition rate about 96 percent.