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According to the standard named GB/T18697, firstly, the interior noises under different working conditions of a sample vehicle are measured and saved in a noise database.
This work is part of Airbus LAnding Gear nOise database for CAA validatiON (LAGOON) program with the general purpose of evaluating current CFD/CAA and experimental techniques for airframe noise prediction.
The QUT-NOISE database [5] is a noise database that was developed under the objective to evaluate VAD approaches.
Section 4 contains the speech and noise database and metrics used in the evaluation.
Figure 9 Pearson correlation for WLF-DEE and the selected state-of-the-art metrics on TID-quantization noise database.
Figure 15 RMSE for WLF-DEE and the selected state-of-the-art metrics on TID-quantization noise database.
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To cover a wide range of use cases, we considered two different noise databases and one speech database.
The speech and noise sources are randomly selected from the TIMIT and noise databases, respectively, and the positions of the noise sources are randomly selected among the positions defined in the CIPIC database, avoiding the front direction.
For the QUT-NOISE database, an improved performance is achieved.
The variety of scenarios and the large amount of data in the QUT-NOISE database allow us to evaluate VAD approaches based on a representative data set.
(a) Clean speech, (b) noisy speech (white noise from NOISEX92 database of 5-dB SNR), (c, d, e, f) enhanced speech signals obtained using the Universal, WPF, WTHSKL, and the proposed methods, respectively.
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