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LANGUAGE RECOGNITION BY CONTEXTUAL MODELING OF LANGUAGE UNITS
LANGUAGE RECOGNITION BY CONTEXTUAL MODELING OF LANGUAGE UNITS
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机译：通过语言单元的上下文建模进行语言识别
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摘要
The method of recognizing speech in an acoustic signal comprises developing acoustic stochastic models of voice units in the form of a set of states of an acoustic signal and using the acoustic models for recognition by a comparison of the signal with predetermined acoustic models obtained via a prior learning process. While developing the acoustic models, the voice units are modeled by means of a first portion of the states independent of adjacent voice units and by means of a second portion of the states dependent on adjacent voice units. The second portion of states dependent on adjacent voice units shares common parameters with a plurality of units sharing same phonemes.
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