rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
Table 10: Performance of rVAD with various threshold β values for speaker verification on RedDots part-01 (male).
['Methods', 'Threshold ( [ITALIC] β)', '[%EER/minDCFx100] Target-wrong', '[%EER/minDCFx100] Impostors-correct', '[%EER/minDCFx100] Impostors-wrong', 'Average (%EER/minDCF)']
MSNE is used for the second pass denoising and both passes are applied. The results show that the performance of rVAD does not change rapidly with changing the value of β, demonstrating the stability of rVAD.