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METHOD AND APPARATUS FOR RECOGNIZING COLLOCATION BELONGING TO MINOR VOCABURARY SKIPPED FROM PRELIMINARY LEARNING

机译:初次学习中产生的少量词汇误认的归属的方法和装置

摘要

The method consists in classifying the sounds forming the uttered words into eight phonetic classes plus a possible indication of the presence of diphtongs, starting from an acoustic-phonetic analysis of the sounds themslves. To recognize the uttered words the sequence of classes found out are analyzed by search-tree algorithms of pattern matching with sequences of classes corresponding to vocabulary words, and possibly by dynamic programming algorithms. The detected classes are: silence, voiced fricatives unvoiced fricatives, plosives, affricates, nasals, semivowels, vowels. A device for implementing the method is also described.
机译:该方法包括将形成发音单词的声音分为八种语音类别,再加上可能存在的语音提示,从对它们自己的声音的语音分析开始。为了识别发音的单词,可以通过模式匹配的搜索树算法与对应于词汇单词的类序列来分析发现的类序列,并可能通过动态编程算法进行分析。检测到的类别为:沉默,发声的擦音,清音的擦音,爆破音,从属音,鼻音,半元音,元音。还描述了用于实现该方法的设备。

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