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Preferred parameter settings can be found in Table5.
Preferred parameter settings for this section can be found in Table3.
Table 3 Preferred parameter settings for the implementation of the basic fullband speaker activity detection method Parameters Value Θ SNR1 0.25 Θ SAD1 0.0025 Θ DTM 30.
Table 5 Preferred parameter settings for the implementation of the frequency-selective model-based speaker activity detection method Parameter Value γ μ 0.83 γ σ 0.8 Θ p 0.01 Θ SNR4 0.25.
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Because measurement and simulation errors are unavoidable, we usually prefer robust models and robust parameter settings.
We used the best parameter settings chosen for the three occurrence data sets to create final models.
Default parameter settings are marked by arrows.
Supplementary Figure 4 CPM performance assessment using additional parameter settings.
All numbers are for best parameter settings.
Using parameter optimization in a benchmarking study can substantially improve the accuracy of results compared with using default parameter settings.
Parameter optimization is computationally intensive and requires running the same tool multiple times, each with different combinations of parameter settings.
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