So , yeah , I 've been exploring a parallel VAD without neural network with , like , less latency using SNR and energy , um , after the cleaning up. So what I 'd been trying was , um , uh  After the b after the noise compensation , n I was trying t to f find a f feature based on the ratio of the energies , that is , cl after clean and before clean. So that if  if they are , like , pretty c close to one , which means it 's speech. And if it is n if it is close to zero , which is  So it 's like a scale @ @ probability value. So I was trying , uh , with full band and multiple bands , m ps uh  separating them to different frequency bands and deriving separate decisions on each bands , and trying to combine them. Uh , the advantage being like it doesn't have the latency of the neural net if it  if it can
Mm - hmm.
g And  it gave me like , uh , one point  One  more than one percent relative improvement. So , from fifty - three point six it went to fifty f four point eight. So it 's , like , only slightly more than a percent improvement ,
Mm - hmm.