Title :
Comments on "An improved endpoint detector for isolated word recognition
Author_Institution :
Matsushita Electr. Ind. Co., Osaka, Japan
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).<>
Keywords :
speech recognition; automatic threshold setting algorithm; fully automatic word recognition; hand labeling; improved endpoint detector; isolated word recognition; robust word boundary detection; single-utterance word boundary detection; speech recognition; Detectors; Energy states; Flowcharts; Labeling; Noise level; Probability density function; Robustness; Signal processing algorithms; Speech enhancement; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
