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SYSTEM AND METHOD OF WORD LATTICE AUGMENTATION USING A PRE/POST VOCALIC CONSONANT DISTINCTION

机译:利用前/后语音辅音区分的词格增强系统和方法

摘要

Disclosed are systems and methods for recognizing speech in a spoken dialogue system. The method includes (1) receiving an input speech having at least one pre-vocalic consonant or at least one post-vocalic consonant, (2) generating at least one output lattice that calculates a first score by comparing the input speech to a training model to provide a resu (3) distinguishing between the at least one pre-vocalic consonant and the at least one post-vocalic consonant in the input speech, (4) calculating a second score by measuring a similarity between the at least one pre-vocalic consonant or the at least one post vocalic consonant in the input speech and the first score, (5) determining at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch by using the second score, and (6) refining the results of the an automated speech recognition (ASR) system by using the at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch.
机译:公开了用于在口语对话系统中识别语音的系统和方法。该方法包括(1)接收具有至少一个语音前辅音或至少一个语音后辅音的输入语音,(2)生成至少一个输出格,该输出格通过将输入语音与训练模型进行比较来计算第一得分。提供结果; (3)在输入语音中区分至少一个发声前辅音和至少一个发声后辅音,(4)通过测量至少一个发声前辅音或语音之间的相似度来计算第二分。输入语音和第一得分中的至少一个语音后辅音,(5)通过使用第二得分来确定至少一个语音前匹配或不匹配或至少一个语音后匹配或不匹配的至少一个类别,以及( 6)通过使用至少一个类别用于至少一个语音匹配或不匹配或至少一个语音匹配或不匹配来完善自动语音识别(ASR)系统的结果。

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