Methods, systems, and computer readable media for non intrusive mean opinion score (mos) estimation based on packet loss pattern

Abstract

Methods, systems, and computer readable media for non-intrusive mean opinion score (MOS) estimation based on packet loss pattern are disclosed. According to one aspect, a method for non-intrusive mean opinion score estimation based on packet loss pattern includes receiving a packet data stream, measuring the packet loss for the received data stream, calculating a probability of packet loss based on the measured packet loss, and calculating an estimated mean opinion score based on the calculated probability of packet loss. In one embodiment, the estimated mean opinion score is calculated using a mathematical function that maps calculated probability of packet loss to mean opinion score. In one embodiment, the mathematical function is a polynomial having coefficients that are selected so that the polynomial closely models reference opinion scores for a range of packet loss probabilities. In one embodiment, the coefficients are determined using a least squares analysis of a dataset that includes reference opinion scores for each of a range of packet loss probabilities. In one embodiment, the reference opinion scores for each of a range of packet loss probabilities are calculated using an intrusive algorithm to analyze lossy data streams that exhibit particular packet loss probabilities and generate mean opinion scores for each of the respective packet loss probabilities.