Research on Voice Quality Evaluation Method Based on Artificial Neural Network

被引：2

作者：

Di, Zixiang ^{[1
]}

Xiao, Tian ^{[1
]}

Li, Yi ^{[1
]}

Cheng, Xinzhou ^{[1
]}

Li, Bei ^{[1
]}

Xu, Lexi ^{[1
]}

Zhu, Xiaomeng ^{[1
]}

Zhi, Lu ^{[1
]}

Xia, Rui ^{[1
]}

机构：

[1] China United Network Commun Corp, Res Inst, Beijing, Peoples R China

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM | 2022年

关键词：

VoNR; VoLTE; Voice quality; Artificial neural network; Intelligent combined evaluation method;

D O I：

10.1109/TrustCom56396.2022.00215

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the gradual commercialization of 5G VoNR, VoLTE and VoNR will become the main methods of voice services. How to efficiently evaluate the quality of voice service is the focus of telecom operators. This paper proposes an intelligent combined evaluation method of VoLTE and VoNR voice quality based on artificial neural network. In the proposed method, the artificial neural network model is fitted by the call level time slice sample data of voice, and then the prediction model is established. The prediction results of voice quality of mobile networks are obtained by using the prediction model at call level, grid level and area level. Meanwhile, the proposed method can address the shortcomings of traditional evaluation method based on road test, such as high cost, low timeliness and limited area. Finally, through theoretical verification and comparison with the real test results, the effectiveness of the prediction method is verified.

引用

页码：1510 / 1515

页数：6

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