Non-intrusive single-ended speech quality assessment in VoIP

Authors:
Lijing Ding;Zhong Lin;Ayman Radwan;Mohamed Samy El-Hennawey;Rafik A. Goubran
Affiliations:
Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada K1S 5B6;Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada K1S 5B6;Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada K7L 3N6;Enterprise Multimedia Systems, Nortel, Belleville, ON, Canada K8N 5B7;Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada K1S 5B6
Venue:
Speech Communication
Year:
2007

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Abstract

Evaluating speech quality in voice over Internet protocol (VoIP) in a non-intrusive manner is challenging, because it relies on a degraded speech signal only. In this paper, a parametric, non-intrusive VoIP speech quality assessment algorithm is proposed, which adopts a three-step strategy, impairment detection, individual effect modeling and an overall model. Mainly based on voice payload analysis, the algorithm also combines Internet protocol analysis approach and the ITU-T E-model. It quantifies the individual contributions to speech quality from several major VoIP impairments, including packet loss, temporal clipping and noise. Also, an overall assessment model is developed. The performance is evaluated through intensive simulations, and the results show that the algorithm is effective and accurate. For the overall model, the correlation between prediction and measurement is 0.90; the root mean square error (RMSE) is 0.27 mean opinion score (MOS). The algorithm aims to be implemented at the receive-end media gateway or IP terminal, for identifying the root causes of speech quality degradation as well as quality assessment in VoIP.