標準パターンの重ね合わせ引き離しによる連続単語音声認識

概要

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We propose a novel algorithm for connected word recognition. We introduce the overlap and split of reference patterns in matching them to portions of a test pattern. As a result, recognition errors due to coarticulation, word shortening and silence between words, which are inherent in connected speech, are reduced. Experiments with Japanese 4-digit strings (8 speakers × 350 strings) show that our method obtains better scores of recognition accuracy (as much as 7. 85%) than that obtained by Sakoe's two-level DP-matching algorithm.
社団法人日本音響学会の論文