A packet-layer model for speech quality assessment was proposed to monitor the quality of networked speech.Without resorting to any media-related payload information,the proposed model predicted the speech quality only in terms of the information provided by packet headers.First，the analysis of content feature was performed to locate the voiced segments and silence segments by analyzing the information from packet headers,and the coding and packet loss parameters of voiced segments were obtained.Then the coding distortion was estimated according to the coding parameters of voiced segments,based on which the overall speech quality was further evaluated by taking account of the impact of packet loss.Experimental results showed that the proposed model could get an increment about 0.041 2 in Pearson correlation coefficient (PCC) and a decrement about 0.045 1 in root mean squared error (RMSE) compared with the E-model proposed in ITU T recommendation G.107.
