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METHOD AND APPARATUS FOR GENERATING GRAPHEME-TO-PHONEME MODEL BASED ON AI

机译:一种基于人工智能的文体音素模型生成方法及装置

摘要

The present invention provides a method and an apparatus for generating a phoneme conversion model based on artificial intelligence. In the training method, a neural network is applied to perform phoneme conversion for each word in training data, Performing random screening on hidden node nodes of the neural network in proportion to a preset node to obtain a retaining node for training each word; Training the respective word by applying a sub-neural network corresponding to the retaining node, and updating a related weight of each retaining node of the sub-neural network; And finally performing a mean value process on the related weight of each retaining node of all the sub-neural networks to generate a phoneme conversion model. Through the method and apparatus for generating a phoneme conversion model based on the artificial intelligence provided by the present application, the learning ability and the generalization ability of the phoneme conversion model are improved to avoid over-sum phenomenon.
机译:本发明提供了一种基于人工智能生成音素转换模型的方法和装置。在训练方法中,采用神经网络对训练数据中的每个单词进行音素转换,对神经网络中的隐节点节点按预设节点的比例进行随机筛选,得到用于训练每个单词的保留节点。通过应用与所述保留节点相对应的子神经网络,并更新所述子神经网络的每个保留节点的相关权重,来训练各个词;最后,对所有子神经网络的每个保留节点的相关权重执行均值过程,以生成音素转换模型。通过本申请提供的基于人工智能的音素转换模型的生成方法和装置,可以提高音素转换模型的学习能力和泛化能力,避免出现过和现象。

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