Figure 3 Frame blocking of the speech signal-Development an Automatic Speech to Facial Animation Conversion for Improve Deaf Lives

The next frame will begin M samples (i.e. 156 samples) after the first frame, and it will
overlap the first frame by N-M samples (256 – 156 = 100 samples). Then the third frame will start
at 2M samples after the first frame and it will overlap first frame by N-2M. The fourth frame will
start at 3M samples after the first, and it will overlap it by N-3M. The process will continue until all
input signal is accounted for. The result of this step plotted using MATLAB plot command and
displayed in Figure 3.
Figure 3 Frame blocking of the speech signal
The next step in the processing is to window each individual frame so as to minimize the
signal discontinuities at the beginning and end of each frame. The concept here is to minimize the
spectral distortion by using the window to taper the signal to zero at the beginning and end of each
frame. If we define the window as w(n), 0 ≤ n ≤ N −1, where N is the number of samples in each
frame, then the result of windowing is the signal
y (n) = x (n)w(n), 0 ≤ n ≤ N −1 l l