Sentence examples for improving the recognition from inspiring English sources

As seen from Figure6, the selection of the weights is crucial for improving the recognition performance.

Still, it is important to find methods for improving the recognition rates.

This choice is considered for improving the recognition accuracy even under the adverse conditions.

Here, we verify which process is effective in improving the recognition performance.

Feature-based techniques, in particular wavelet-denoise, are investigated for improving the recognition performance of ANN.

Additionally, the variance model adaption is especially important for improving the recognition performance in the heavily noisy conditions.

Reducing the number of the eigenphones improves the recognition rate.

The spatio-temporal bipartite graph-based early fusion technique can further improve the recognition accuracy.

The ensemble algorithms can improve the recognition results by combining a serious of base estimators (classifiers).

Applying compensation techniques to the noisy speech improves the recognition results.

And, the smoothed facial shapes with PDM method can always improve the recognition accuracy.