Abstract
Robust word boundary detection remains an unsolved problem. An automatic threshold setting algorithm is presented, and a paper on single-utterance word boundary detection in a quiet environment is corrected, promising great improvement in the accuracy of fully automatic word recognition and assistance in the hand labeling of endpoints. The original paper was by L.F. Lamel et al. (see IEEE Trans. Acoust. Speech Signal Process., vol.29, no.4, p.777-85, 1981).

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