Outcome: We will develop an algorithm for measuring non-intrusive speech quality.
Description: Speech quality evaluation is an extremely important problem in modern communication networks. Service providers always strive to achieve a certain Quality of Service (QoS) in order to ensure customer satisfaction. Modeling the speech quality becomes an urgent issue. In this project a computable model for different time scale speech quality evaluation, called E-Model is developed. The results indicate that subjects can monitor speech quality variations very accurately with a delay of approximately 1 second. Non-intrusive speech quality is measured at the receiver from a degraded signal using G.107 (E-model) which is a parameter based model and calculate MOS values with quality rating factor. The quality rating factor is calculated by network impairments (loudness rating) of a speech. The output from the model described here is a scalar quality rating value, R, which varies directly with the overall conversational quality. Sectional speech quality is obtained by E- model, which is called instantaneous quality of the section that will be constant for each section. Overall perceived quality can be calculated by using average of instantaneous speech quality.
