2. The method of claim 1 further comprising: using a third condition to make a third end-point decision for the at least one frame of the plurality of frames by comparing the energy parameter to a third energy threshold and by comparing the cepstral distance to a second cepstral distance threshold, wherein the third energy threshold is lower than the second energy threshold and the second cepstral distance threshold is higher than the first cepstral distance threshold.
2. The method of claim 1 further comprising: using a third condition to make a third end-point decision for the at least one frame of the plurality of frames by comparing the energy parameter to a third energy threshold and by comparing the cepstral distance to a second cepstral distance threshold, wherein the third energy threshold is lower than the second energy threshold and the second cepstral distance threshold is higher than the first cepstral distance threshold. 7. The method of claim 2 further comprising: receiving an initial plurality of frames of the speech signal; calculating a silence average background energy parameter using the initial plurality of frames; calculating the silence mean cepstral vector using the initial plurality of frames; calculating a silence cepstral distance of the initial plurality of frames using the silence mean cepstral vector; obtaining the first energy threshold, the second energy threshold and the third energy threshold using the silence average background energy parameter and obtaining the first cepstral distance threshold and the second cepstral distance using the silence cepstral distance.