Sentence examples for improvements of recognition from inspiring English sources

Reliability improvements of recognition based on redundant measurements as well as in repeated tests is also analyzed.

Perhaps somewhat surprisingly, none of these developments have given rise to substantial improvements of recognition performance relative to other engineering tricks that do not take guidance from knowledge about the auditory system.

Also, a realistically computable uncertainty estimate is introduced, and experiments and results given in Sections 7 and 8 show that with this practical uncertainty measure, significant improvements of recognition performance can be attained for noisy, reverberant room recordings.

And for Chinese handwriting recognition task, as a nonlinear feature mapping function, we have a very interesting observation that DNN-based approach can not even bring performance gain while HDNN-based approach yields significant improvements of recognition accuracy.

Experimental results show a significant improvement of recognition accuracy when these dependencies are considered.

Furthermore, feature enhancement with the deep autoencoder contributed to the improvement of recognition accuracy especially in the more adverse conditions.

Furthermore, feature enhancement with the DAE contributed to the improvement of recognition accuracy especially in the more adverse conditions.

The experimental results show significant improvement of recognition rates on handwritten Bangla characters compared to traditionally followed Single pass approach.

Experimental evaluations show that the proposed method can achieve significant improvement of recognition rates across a wide range of signal to noise ratios.

The recognition is thus achieved by fusing the classification results of physiological signals and RT with the voting method and a further improvement of recognition accuracy is observed.

The experiments on the standard TIMIT phonetic recognition task show improvement of recognition accuracy by the new search algorithm on recognition lattices over the traditional N-best rescoring paradigm.