Exact(24)
This result demonstrates the improvement obtained from different methodologies addressed in the proposed environment.
The proposed environment had 11 tables in the database, as shown in Table 2.
Besides, a real world case study is provided to demonstrate the feasibility of the proposed environment.
As indicated in Fig. 11, package structures in the proposed environment provide useful information to teachers regarding a learner's understanding.
Hardware and software designers facilitate their familiar tools/methods on their own under the proposed environment presented in next section.
The proposed environment hosts remote lab experiments that enable the development of collaborative projects among students working at different sites.
Similar(36)
In the following, we describe the proposed environment-dependent DAE.
That indicates that the proposed environment-aware approach is robust enough to handle the slightly and highly reverberant situations.
The results illustrates that although our proposed DNN model was only trained in a single room, it generalized well to an unseen room size, demonstrating the robustness of our proposed environment-aware approach to new room sizes.
The results indicate that the performance of our proposed environment-dependent DAE is better than almost all the other participants' methods using the same training data and language model.
We first describe the proposed reverberation-time-aware DNN-based multi-channel dereverberation framework in Section 2. Experimental results are next provided and analyzed in Section 3. The generalization capabilities of the proposed environment-aware model are illustrated in Section 4. Finally we summarize our findings in Section 5.
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