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KOREAN CONTINUOUS VOICE RECOGNITION DEVICE AND METHOD USING DEPENDENT GRAMMAR AS BACKWARD LANGUAGE MODEL AND AUTOMATIC TRANSLATING SYSTEM USING IT
KOREAN CONTINUOUS VOICE RECOGNITION DEVICE AND METHOD USING DEPENDENT GRAMMAR AS BACKWARD LANGUAGE MODEL AND AUTOMATIC TRANSLATING SYSTEM USING IT
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机译:韩国语连续语音识别装置及方法,采用依存语法为后向语言模型,并采用其自动翻译系统
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摘要
The present invention relates to an apparatus and method for recognizing Korean continuous speech and an automatic interpretation system using the same, using a conventional simple grammar as a forward search method and adopting a dependent syntax that expresses Korean grammar features well with a backward search method. Feature extraction means (11) for extracting features of an input speech to provide a speech recognition apparatus and method and an automatic interpretation system using the same; Word modeling means 15 for modeling words; Word recognition means (12) for recognizing speech on a word-by-word basis; Sentence recognizing means (13) for recognizing a sentence using a bigram 18 as a forward-looking language model; And sentence recognizing means (14) using the dependent grammar (19) as a backward language model, comprising: a first step (31, 32) of determining whether it is the last frame after initialization; A second step (33, 34) of performing a language processing process by applying a forward language model after performing Viterbi calculation on the input speech every frame unit; and backward language model every word unit from the last frame. A continuous speech recognition means (41, 42) comprising a third step (35) of applying the grammar and using the dependent grammar as a backward language model; Storage means 43 for storing parsing results analyzed by the backward language model; Conversion and generating means 44 for converting and generating a result of parsing into a sentence of another language; And a speech synthesis means 45 for synthesizing and outputting the translated speech, thereby improving continuous speech recognition rate, and having an economic effect by reducing interpretation time and simplifying the system.
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