Sentence examples for noise recognition from inspiring English sources

Schemes for the wobbling noise recognition, signal indication extraction, defect signal classification, and the separation of mixed signals are proposed, and are applied to both signals measured in a SG mock-up and signals measured with short tube test-pieces in a laboratory environment.

Additionally, the great discrete degree of samplings occasionally existed will increase the difficulty of noises recognition.

The results obtained with the proposed test fully paralleled those obtained in previous studies in the other language versions [ 32– 35] and were in line with results reported for conventional clinical tests of speech-in-noise recognition [ 50, 56– 56].

Vice versa, 11.5% of ears in Class III were in the green category, possibly because of gradual adaptation to speech-in-noise recognition in people with hearing difficulties and, also, because of the 33% guess rate in the 3AFC task which may lead to higher-than-expected scores.

Teammates tolerate the noise, in recognition of the fact that on his day, the starting pitcher is the most important player on the team.

Some theories of speech perception ignore lack of invariance and accept variability as noise in recognition.

Influence of the noise on recognition efficiency is presented in Figure 14.

For the case of Yale and ORL databases, the degradation due to noise in recognition rates is very less.

With the increase of noise, the recognition performance for sound events decreases for all algorithms used in this study.

The detrimental effect of noise on recognition may be expected to influence listening in other situations.

It is unclear by what mechanism lower levels of air pollution might impact the association between road traffic noise and recognition memory.