rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method
Table 7: Performance of rVAD with various threshold β values on the RATS database.
['Method', 'Threshold', '[ITALIC] Pmiss(%)', '[ITALIC] Pfa(%)', 'FER']
We study the sensitivity of threshold β in Eq. It is observed that increasing the value of the VAD threshold β makes rVAD more aggressive, i.e. increased Pmiss and decreased Pfa, and thus less frames are classified as speech. The β value should be chosen according to the application in hand. Furthermore, the results show that rVAD performs well in a wide range of values of threshold β, demonstrating its advantage of stability.