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Vocabulary independent speech recognition system and method using subword units

机译:使用子词单元的词汇无关语音识别系统和方法

摘要

A speech recognition system provides a subword decoder and a dictionary lookup to process a spoken input. In a first stage of processing, the subword decoder decodes the speech input based on subword units or particles and identifies hypothesized subword sequences using a particle dictionary and particle language model, but independently of a word dictionary or word vocabulary. Further stages of processing involve a particle to word graph expander and a word decoder. The particle to word graph expander expands the subword representation produced by the subword decoder into a word graph of word candidates using a word dictionary. The word decoder uses the word dictionary and a word language model to determine a best sequence of word candidates from the word graph that is most likely to match the words of the spoken input.
机译:语音识别系统提供子词解码器和字典查找以处理语音输入。在处理的第一阶段,子词解码器基于子词单元或粒子对语音输入进行解码,并使用粒子字典和粒子语言模型来识别假设的子词序列,但与词字典或词词汇无关。处理的其他阶段涉及粒子到单词图扩展器和单词解码器。粒子到词图扩展器使用词词典将子词解码器产生的子词表示扩展为候选词的词图。单词解码器使用单词词典和单词语言模型从单词图中确定最有可能与语音输入单词匹配的候选单词的最佳顺序。

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