1. A computer-implemented method comprising: determining, by a processor, a plurality of intrusive quality of experience scores associated with a plurality of intrusive audio transmission samples from a communication session; determining, by the processor, a plurality of non-intrusive quality of experience scores associated with a plurality of non-intrusive audio transmission samples, wherein each non-intrusive audio transmission sample of the plurality of non-intrusive audio transmission samples is obtained at a same time frame during the communication session as a corresponding intrusive audio transmission sample of the plurality of intrusive audio transmission samples; deriving, by the processor, a quality of experience coefficient based upon a relationship between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores utilizing a curve fitting model between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores, wherein the derived quality of experience coefficient is a codec specific coefficient corresponding to a codec utilized for conducting the communication session, wherein the plurality of intrusive quality of experience scores is determined for a respective plurality of different network conditions, wherein the different network conditions includes at least one of a different packet loss rate, a different jitter, and a different delay, wherein the different packet loss rate is up to 40% in increments of 0.5%; determining, by the processor, a non-intrusive quality of experience associated with an audio transmission and applying the codec specific coefficient to the non-intrusive quality of experience score to obtain a corrected quality of experience metric; and performing, by the processor, in real-time, at least one of dynamic resource management and network tuning during the communication session based upon, at least in part, the corrected quality of experience metric.