用于音节识别的动态神经网络

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) Pub Date : 1999-07-10 DOI:10.1109/IJCNN.1999.836002

Lin Zhong, Yuanyuan Shi, Runsheng Liu

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引用次数: 5

摘要

提出了一种基于时滞神经网络和卷积神经网络的动态神经网络结构。动态网络在处理音节识别时取得了比MLP和TDNN更好的性能。这样的性能也可以与更流行的HMM方法相媲美。

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A dynamic neural network for syllable recognition

A dynamic neural network architecture based on the time-delay neural network and the convolutional neural network is originated. The dynamic network achieves much better performance than those of MLP and TDNN when dealing with syllable recognition. Such performance is also comparable to that of the more popular HMM method.

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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

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