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Natural language speech recognition using slot semantic confidence scores related to their word recognition confidence scores
Natural language speech recognition using slot semantic confidence scores related to their word recognition confidence scores
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机译:使用与他们的单词识别置信度分数相关的时隙语义置信度分数的自然语言语音识别
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摘要
A stream of input speech is coupled as an input to a speech recognizer. The speech can be provided to the speech recognizer directly from a user or first stored and provided from a memory circuit. Each input word is recognized by the speech recognizer and a word confidence score is associated with each corresponding recognized word. The recognized words and their associated word confidence scores are provided to a natural language interpreter which parses the stream of recognized words into predetermined edges. From the edges, the natural language interpreter forms semantic slots which represent a semantic meaning. A slot confidence score related to the word or phone confidence scores for each of the words in the slot is determined for each slot. Based upon the slot confidence score, an ancillary application program determines whether to accept the words used to fill each slot. If the slot is rejected, the application program can request the user to repeat the information necessary to fill that slot only, rather than requiring the user to repeat the entire stream of input speech.
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