A word model based endpoint detector for isolated utterunce recognition
نویسندگان
چکیده
منابع مشابه
Comments on 'An improved endpoint detector for isolated word recognition'
Accurate location of the endpoints of an isolated word is important for reliable and robust word recognition. The endpoint detection problem is nontrivial for nonstationary backgrounds where artifacts (i.e., nonspeech events) may be introduced by the speaker, the recording environment, and the transmission system. Several techniques for the detection of the endpoints of isolated words recorded ...
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In this paper, we present a word counting method that enables speech recognition systems to perform reliable barge-in detection and also make a fast and accurate determination of end of speech. This is achieved by examining partial recognition hypotheses and imposing certain “word stability” criteria. Typically, a voice activity detector is used for both barge-in detection and end of speech det...
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A speaker-dependent speech recognition system is described for recognizing isolated word utterances using reference templates created by concatenating demisyllable (half-syllable) prototypes. Each word in a vocabulary is specified by one or more entries in a usersupplied lexicon containing a sequence of demisyllables drawn from a corpus of some 1000 units. Experiments were carried out with two ...
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The technique of dynamic time warping (DTW) is relied on heavily in isolated word recognition systems. The advantage of using DTW is that reliable time alignment between reference and test patterns is obtained. The disadvantage of using DTW is the heavy computational burden required to find the optimal time alignment path. Several alternative procedures have been proposed for reducing the compu...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1983
ISSN: 0001-4966
DOI: 10.1121/1.2020205