首页> 外国专利> MULTIPLE PRONUNCIATION DICTIONARY STRUCTURING METHOD AND SYSTEM BASED ON THE PSEUDO-MORPHEME FOR SPONTANEOUS SPEECH RECOGNITION AND THE METHOD FOR SPEECH RECOGNITION BY USING THE STRUCTURING SYSTEM

MULTIPLE PRONUNCIATION DICTIONARY STRUCTURING METHOD AND SYSTEM BASED ON THE PSEUDO-MORPHEME FOR SPONTANEOUS SPEECH RECOGNITION AND THE METHOD FOR SPEECH RECOGNITION BY USING THE STRUCTURING SYSTEM

机译:基于假想的自发语音识别多发音词典结构方法和系统,以及使用该结构系统的语音识别方法

摘要

The performance of the invention by forming the frequently appearing pronunciation variations doctor morphological-based multiple pronunciation dictionary the receiving extends to the representative words in conversational speech and configuring the language model and the vocabulary dictionary using only represent vocabulary, conversational continuous speech recognition multi pronunciation to get improved and standardized output pattern relates to a method and system of pre-built and conversational speech recognition method using the same.; The present invention compares with performing a representative negative text corpus and Allophone extracting the text corpus, respectively, representing sound and Allophone doctor stemming and tagging for each text corpus from the conversational text corpus, tagging results by Eojeol doctor representative of morphological unit negative / extracting Allophone pair and, further, representing sound generating a lexical dictionary from the doctor morphological tagging results of only the representative sound corpus, representing sound vocabulary dictionary and represent negative / Allophone pairs extracted multiple pronunciation through the results a step of generating the dictionary and language models representing negative.
机译:通过形成频繁出现的发音变化,基于医生形态学的多发音词典来实现本发明的性能,接收扩展到会话语音中的代表性单词,并仅使用代表词汇,会话连续语音识别的多语音来配置语言模型和词汇词典。改进和标准化的输出模式涉及一种使用该方法的预建和会话语音识别方法和系统。本发明与执行代表性否定文本语料库和异音素提取文本语料库相比,分别表示声音和异声素医生对会话文本语料库中的每个文本语料库进行标注和标记,由Eojeol Doctor标记代表形态单位负数/提取的结果。异音素对,并进一步表示声音,该声音仅从代表声音语料库的医生形态标记结果生成词汇词典,代表声音词汇词典,并代表否定/异音素对,通过结果从多个发音中提取出词典和语言模型的步骤代表负面。

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