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Both training and recognition were performed with the Cambridge Hidden Markov Model Toolkit (HTK) [39].
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Using this model, we can perform training and recognition both at the whole image level without explicit segmentation.
Training and recognition is done using HTK [34].
Limitations also exist in several aspects of the training and recognition processes.
Therefore, we can try various combinations of phone class features for training and recognition stages.
The details of the training and recognition modules are presented in the following.
Section 3 presents the proposed methodology with in-depth discussion on the training and recognition modules.
We evaluate the effect of these features in the training and recognition stage.
Article 59 on "training and recognition" in the new Directive refers to this Art.
The average training and recognition time cost for each segmentation method is shown in Table 4.
The Kaldi recognizer [20] was used for training and recognition task.
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