With the rapid development of artificial intelligence, English is the most widely used language in the world, and English speech recognition has become one of the hot spots in the field of artificial intelligence. In order to promote English culture accurately, this paper uses recurrent neural network and convolutional neural network to recognize the tone and tone color of English comprehensively and studies the optimal number of layers and neuron nodes when the recognition accuracy is highest. When the number of layers is 7 and the number of nodes is 256, the recognition accuracy is the highest, reaching 98%. It provides convenience for English teaching and further promotes the spread of English culture.

中文翻译：

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递归神经网络在英语文化促进中的语音识别

随着人工智能的快速发展，英语已成为世界上使用最广泛的语言，英语语音识别已成为人工智能领域的热点之一。为了准确地促进英语文化，本文采用递归神经网络和卷积神经网络对英语的语气和语气颜色进行综合识别，研究了识别精度最高时的最佳层数和神经元结点。当层数为7且节点数为256时，识别精度最高，达到98％。它为英语教学提供了便利，并进一步促进了英语文化的传播。