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公开(公告)号:US4718094A
公开(公告)日:1988-01-05
申请号:US845155
申请日:1986-03-27
CPC分类号: G10L15/142 , G10L15/08 , G10L15/144 , G10L15/187
摘要: Speech words are recognized by first recognizing each spectral vector identified by a label (feneme), then identifying the word by matching the string of labels against phones using simplified phone machines based on label and transition probabilities and Merkov chains. In one embodiment, a detailed acoustic match word score is combined with an approximate acoustic match word score to provide a total word score for a subject word. In another embodiment, a polling word score is combined with an acoustic match word score to provide a total word score for a subject word. The acoustic models employed in the acoustic matching may correspond, alternatively, to phonetic elements or to fenemes. Fenemes represent labels generated by an acoustic processor in response to a spoken input. Apparatus and method for determining word scores according to approximate acoustic matching and for determining word scores according to a polling methodology are disclosed.
摘要翻译: 通过首先识别由标签(feneme)标识的每个频谱矢量,然后通过基于标签和转换概率以及Merkov链使用简化的电话机将标签串与电话匹配来识别词语来识别语音词。 在一个实施例中,将详细的声匹配词得分与近似声匹配词得分组合以提供主题词的总词分数。 在另一个实施例中,轮询词得分与声匹配词得分组合以提供主题词的总词分数。 在声学匹配中使用的声学模型可以对应于语音元件或拼音。 Fenemes表示响应于语音输入由声学处理器产生的标签。 公开了根据近似声匹配确定单词分数并根据轮询方法确定单词分数的装置和方法。