Sentence examples for mean recognition error from inspiring English sources

Our experimental work was primarily focused on analysis of different types of speech features for GMM emotion classification and gender recognition as it can be seen in the bar graph in Figure10 and as follows from the summary results in Table 14, the best values are observed in the case of the P3 feature set (with the mean recognition error rate of about 26%).

Mean recognition rate (±1 standard error) of famous faces used in the experimental scan was 93.1% (2.8), and recognition rate of famous faces used in the localizer scan was 77.5% (3.8).

Towards Increasing Speech Recognition Error Rates.

In the large vocabulary-based KPOW task, the HEQ-MA with mean and variance adaptation technique reduces recognition errors by 43.04%, 38.77%, 15.05%, 41.39%, and 8.56% over the baseline recognizer, CMN, CMVN, MLLR, and HEQ-FC, respectively.

Better pattern recognition means fewer errors, especially when it comes to false positives, which Reitblat estimates cost the U.S. economy $20 billion per year in lost sales.

In addition, the length recognition results calculated from the location CNN possess a 0.2543 cm mean squared error, a 0.978 cm maximum length error, and a 0.504 cm average error in the test samples.

S.E.M.: mean standard error.

There is growing interest in soft biometrics as a means of improving automated face recognition since they hold the promise of significantly reducing recognition errors, in part by ruling out illogical choices.

Incidence of speech recognition errors in the emergency department.

Figure 11 Common character recognition errors.

Negative accuracy means over 100% error rate, rendering recognition results unusable.