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Except for one-terrace step, CLM control mode also been tested in a two-terrace step environment, the total height of this step is also 400 mm.
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And, the one-step environment-dependent DAE significantly outperforms the two-step environment-dependent DAE.
Fig. 3 Two-step environment-dependent DAE Fig. 4 DNN structure using reverberation estimated by MSLP for environment identification and one-step environment-dependent DAE.
Table 5 Effect of environment identification method for two-step environment-dependent DAE.
Two-step environment-dependent DAE: environment-dependent DAE selected by an estimated environment.
The proposed one-step environment-dependent DAE (that is, reverberation-aware DAE) outperformed the conventional environment-independent DAE and two-step environment-dependent DAE on both SimData and RealData in the Dev. and Eval.
That is to say, the two-step environment-dependent DAE is sensitive to the environment identification performance.
The performance of our proposed two-step environment-dependent DAE is dependent on the precision of the automatic environment identification.
One-step environment-dependent DAE: reverberation-aware DAE using reverberant speech features and late reverberation features estimated by MSLP.
In this section, we investigate the effect of the environment identification method for the two-step environment-dependent DAE.
The improvement of the one-step environment-dependent DAE under large reverberation conditions is greater than that under small reverberation conditions.
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