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Grapheme conversion model generation method and device by artificial intelligence

机译:石墨对转换模型生成方法与人工智能

摘要

A method and an apparatus for generating a g2p model based on AI are provided. The method includes: during performing a grapheme-to-phoneme conversion training by a neural network on each word in training data, screening nodes in a hidden layer of the neural network randomly according to a preset node ratio so as to obtain retaining nodes for training each word; training each word with a sub-neural network corresponding to the retaining nodes and updating a weight of each retaining node of the sub-neural network; and performing a mean processing on the weights of the retaining nodes of respective sub-neural networks, so as to generate the grapheme-to-phoneme model.
机译:提供了一种用于产生基于AI的G2P模型的方法和装置。该方法包括:在训练数据中的每个单词上通过神经网络执行图形到音素转换训练,根据预设节点比随机地筛选在神经网络的隐藏层中的节点,以便获得用于训练的保留节点每个字;用对应于固定节点的子神经网络训练每个单词并更新子神经网络的每个保持节点的权重;并对各个子神经网络的保留节点的权重执行平均处理,以便生成图形到音素模型。

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