2. The computer system of claim 1 , wherein the computer system is further configured to perform at least the following operations: dynamically analyzing, by the adaptive self-trained computer engine, a frequency spectrum of the initial speech audio data, the training speech audio data, or both, to generate a speaker profile of the particular user.
2. The computer system of claim 1 , wherein the computer system is further configured to perform at least the following operations: dynamically analyzing, by the adaptive self-trained computer engine, a frequency spectrum of the initial speech audio data, the training speech audio data, or both, to generate a speaker profile of the particular user. 3. The computer system of claim 2 , wherein the analyzing of the frequency spectrum is based, at least in part, on at least one parameter selected from the group consisting of: mean frequency, standard deviation, median, first quartile, third quartile, interquartile range, skewness, kurtosis, spectral entropy, spectral centroid, spectral spread, spectral flux, spectral rolloff, spectral flatness, mode, peak frequency, average and minimum (min) and maximum (max) fundamental frequency, average and min and max dominant frequency, range of dominant frequency, modulation index, zero crossing rate, energy, entropy of energy, Mel frequency cepstral coefficients (MFCCs), chroma vector, and chroma deviation.