Shifu Xiong

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This paper proposes a lattice-based sequential discriminative training method to extract more discriminative bottleneck features. In our method, the bottleneck neural network is first trained with cross entropy criteria, and then only the weights of bottleneck layer are retrained with sequential criteria. If the outputs of the layer before bottleneck are(More)
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