Sentence examples for performance of context from inspiring English sources

The performance of context recognition will influence the performance of the sound event detection, as incorrectly recognized context will lead to choosing a wrong set of events for the event detection stage.

An appropriate system for testing the performance of context-dependent models is a two-pass continuous speech recognition algorithm.

We verify the proposed method is useful as measuring the performance of context-aware module and conducting subjective test.

Mean absolute error method is used to measure the prediction performance of context-aware multi-criteria recommenders by analysing the difference error between the predicted score and the score which is given by user.

This is the first evidence of practical applicability of our composition technique: although the performance of context-aware composition degrades exponentially with growing complexity of a composition problem, it is still enough to be used for the actual problem of process adaptation.

The addition of acoustic context improve the overall performance of auto-context as well, compared to the case of only utilizing prosodic context.

In both cases, we apply a varying stress load to evaluate the performance of AppaaS context manager.

Since the performance of the context recognition stage affects on the selected event set for the event detection, the system is first tested when provided with the ground-truth context label.

The performance of the context recognition is presented in Table 2 as a fourfold average performance for the evaluation sets for four different segment lengths: 4 s, 20 s, 40 s, and the whole signal.

It can be seen that on the DataBCIII the performance of the context similarity-based methods is also better than that of their corresponding frequency-based methods.

This experiment investigates the performance of auto-context algorithm on boundary detection.