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Supervised Sequence Labelling with Recurrent Neural Networks

Supervised Sequence Labelling with Recurrent Neural Networks

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for the RNN, then invert the RNN outputs to provide observation probabilities (Bourlard and Morgan, 1994). However the hybrid approach does not exploit the full potential of RNNs for sequence processing, and it also leads to an awk-ward combination of discriminative and generative training. The connectionist

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