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Phone recognition with hierarchical convolutional deep maxout networks

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Figure

Fig. 1 A schematic diagram of the CNN network structure applied here. The circle on the right magnifies the operation of one convolutional neuron
Table 1 Phone error rates of the convolutional ReLU network asa function of the number and width of the frequency bands
Fig. 2 Phone error rate as a function of the pooling size. The baseline score was obtained by using a fully connected DNN
Fig. 4 The implementation of convolutional maxout neurons. Themaximization over convolutional positions and maxout groups canbe performed in one go
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