Sentence examples for training and recognition from inspiring English sources

"PLASTR: a Python Library for Automatic Speech recognition Training and Recognition," http://code.google.com/p/pyhtk/.com/p/pyhtk/

Limitations also exist in several aspects of the training and recognition processes.

The real-time system uses a recurrent neural network (RNN) with associative memory for training and recognition.

Using this model, we can perform training and recognition both at the whole image level without explicit segmentation.

In this work, the newly developed neural chip applied in analog inputs for on-chip training and recognition is presented.

These considerations can have a significant effect on the computational requirements for the training and recognition tasks, particularly for parallelization over many cores.

These relate directly to training efficiency and recognition speed.

Fig. 11 Relation between the number of training subjects and recognition accuracy for each angular differences.

The channel matrix is randomly selected for each realization of training process and recognition process.

Fig. 8 Relationship between the number of training subjects and recognition accuracy for SIAME.

Fig. 10 Relation between the number of training subjects and recognition accuracy (averaged value for all views).