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There are a number of practical advantages to the use of a recurrent network instead of an exponential family distribution. The first, mentioned in section 6.1, is that the number of required parameters is much fewer than standard systems. In addition, section 5.4 shows that the posterior probabilities generated by the network can be used efficiently in the decoding -- both for computing likelihoods and pruning state paths (similar to fast-match approaches which are add-ons to standard systems). Of course, a major practical attraction of the approach is that it is very straightforward to map the recurrent network to standard DSP architectures.