Sentence examples for environment classification from inspiring English sources

In this paper, we investigate the ensemble of deep neural networks (DNNs) by using an acoustic environment classification (AEC) technique for the statistical model-based voice activity detection (VAD).

In [7 9], virtual propagation environments can be generated according to physical-statistical environment classification.

Also different methods for environment classification may have an influence to the results.

Shown in the Table 4 are the acoustic environment classification performance for the proposed method.

The environment classification for the SDARS measurement data was performed by visual inspection of the image material from two cameras.

Shown in the Table 3 are the acoustic environment classification performance for Hong's method using speech dataset.

Except the DD approach, many data-driven and acoustic environment classification-based approaches had been proposed [6 8].

Household environment classifications were defined a priori.

Due to the immense diversity of microbial morphologies distributed in various living environments, classification strategies for the microorganisms based on wet-lab techniques may be costly, time-consuming and thus inefficient when compared with strategies based on computation.

Due to these variabilities, we introduce the use of an adaptive probabilistic neural network (APNN) working in a time-varying environment for classification of EEG signals.

From above analysis, it can be concluded that the proposed technique works very well in the industrial environment, with classification performance more than 98%%.