An efficient algorithm for syllable hypothesization in continuous Mandarin speech recognition

An efficient search algorithm for generating syllable hypotheses in continuous Mandarin speech recognizer is proposed. The fast syllable hypothesizing algorithm consists of a forward, time-synchronous, modified Viterbi search and a parallel backtracking procedure. This algorithm can generate a lattice of syllable hypotheses with very low time delay. The superiority of the new algorithm to other direct sentence hypothesis algorithms is also experimentally demonstrated in terms of search efficiency and accuracy.<
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