This is my very first signal processing exercise so I'm very new to this space. That being said the goal is to do isolate voice recognition in identifying someone saying yes and no.As the title suggests I have a 1x26 vector that looks as follows:
Columns 1 through 10
(P)160.2504 66.7557 -35.9298 144.1598 -11.9133 -16.2184 -26.4730 78.0673 10.2075 -39.4318
Columns 11 through 20
-46.6702 5.9283 -42.9540 (P)0.2614 0.0382 -1.3315 0.1326 -1.4256 0.1936 0.4081
Columns 21 through 26
-1.4431 -1.6916 -1.1668 -0.2901 -0.4499 -0.4309
Where (P) denotes the log energy for the Mel Cepstrum Coefficients and Delta Coefficients respectively. This being said I would like to know how to normalize these values but how? I'm not sure what exactly to divide the energies by, let alone the coefficients. Like I said first project so a really go post guiding me would be REALLY appreciated!