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Speech Recognition Method Determining the Subject of Response using Multi-Modal Analysis in Natural Language Sentences

机译:语音识别方法在自然语言句子中使用多模态分析使用多模态分析的响应主题

摘要

The present invention relates to a voice recognition method for determining whether to respond or not by using text and sound information extracted from natural speech without inputting a calling word, and the voice recognition method for determining whether to respond in a natural language sentence of the present invention Since it is a two-pass cascade type using an intention classifier and a topic classifier, it is possible to construct a unique language model for each topic through the topic classifier, and at the same time overcomes the problem in the intention classifier that it is difficult to classify whether an utterance is a declarative sentence or a question sentence depending on intonation In order to do this, by using not only text information but also sound information, it is possible to more accurately determine response and non-response.
机译:语音识别方法技术领域本发明涉及一种用于确定是否通过使用从自然语音中提取的文本和声音信息来确定是否响应的语音识别方法,而无需输入呼叫字,以及用于确定是否以当前自然语言句子响应的语音识别方法 发明以来,由于它是使用意图分类器和主题分类器的双通级联类型,因此可以通过主题分类器为每个主题构造唯一的语言模型,同时克服了意图分类器中的问题 难以分类话语是否是陈述句子或根据语调的问题句,以便这样做,不仅使用文本信息而且还可以更准确地确定响应和不响应。

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