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Voice conversation method and system with enhanced word features

机译:具有增强词特征的语音对话方法和系统

摘要

Provided is a voice conversation method using a bi-directional LSTM (Bi-LSTM) memory network. The voice conversation method includes steps of: performing bi-directional LSTM processing on history sentences to generate first sentence embedding and second sentence embedding; performing bi-directional LSTM processing on a question sentence to generate question sentence embedding; inputting the first sentence embedding and the question sentence embedding to an input memory of a memory network and inputting the second sentence embedding into an output memory of the memory network; generating a weight matrix representing relevance between the first sentence embedding of the input memory and the question sentence embedding, performing weighted sum of the weight matrix and the second sentence embedding of the output memory to generate output information, adding the output information and the question sentence embedding to obtain prediction information, and outputting the prediction information; and selecting an answer sentence by using the prediction information.
机译:提供了使用双向LSTM(Bi-LSTM)内存网络的语音对话方法。语音对话方法包括以下步骤:对历史句子执行关于历史句的双向LSTM处理,以生成第一句嵌入和第二句嵌入;在问题句中执行双向LSTM处理以生成问题句嵌入的问题;将第一个句子嵌入和嵌入到存储器网络的输入存储器的问题句子,并将嵌入的第二句嵌入到存储器网络的输出存储器中;生成表示输入存储器的第一句嵌入与嵌入的问题句子之间的相关性的权重矩阵,执行权重矩阵的加权和输出存储器的第二句嵌入以生成输出信息,添加输出信息和问题句子嵌入以获取预测信息,并输出预测信息;并使用预测信息选择答案句子。

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