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maximum Likelihood Estimation (MLE), discriminative training by Frame Discrimination (FD), fast Discriminative Weighting (FDW) which relies on a fast approximation of FD.
After initialization, supervised discriminative training was performed for both the MLP without pre-training and DBN with pre-training.
The proposed discriminative training method for complementary systems is extended from a discriminative training principle.
A common discriminative training method is the MCE [18].
The discriminative training of acoustic model (bMMI) and feature-space discriminative training (f-bMMI) significantly improved the performance.
The extension of a discriminative training to a feature transformation is referred to as a feature-space discriminative training [12].
In addition, to further speed up discriminative training, a lattice re-use method is proposed.
To this end, we first construct a discriminative training set from auxiliary video sequences.
In general, after discriminative training, a DBN is called a DNN.
For speech recognition, we validated the effectiveness of feature transformations and discriminative training.
The second approach is based on discriminative training that minimizes the classification error over all classes.
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