MOS estimation model development using ACR listening-opinion tests with Thai users referring to loss effects: a case of G.726 and G.729

This paper proposes two models of Mean Opinion Score (MOS) estimation based on Thai users and the Thai language, referring to packet loss effects, for G.726 and G.729 codecs. Based on Thai users and Thai speech referring to packet loss effects in this work, the Absolute Category Rate (ACR) listening tests were conducted with 89 participants and 107 participants for the MOS estimation model development of G.726 and G.729 respectively, while the same tests were conducted with totally 60 participants for the model evaluation of both codecs. Packet loss rates were 0–15% for G.726 with 5 test conditions and G.729 with 6 test conditions; each condition was conducted with at least 16 participants. After gathering the data, the MOS estimation models for both codecs were simply created and then evaluated with the test sets, comparing Perceptual Evaluation of Speech Quality (PESQ), a popular measurement method. For one of the contributions of this study, after the models were evaluated using Mean Absolute Percentage Error (MAPE), it was found that the proposed models for G.726 and G.729 provided better performance than PESQ, particularly by reducing the MAPE by about 30% and 17% respectively, compared to PESQ.