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