AI based scheme on voice service quality evaluation and assurance
The voice service is one of the mainstream services under the telecommunications network.The mainstream voice service quality evaluation method in the industry is to compare the voice and audio of the transceiver and calculate the POLQA MOS, which is the standard benchmark for voice quality analysis...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2021-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021110/ |
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| _version_ | 1841529120266125312 |
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| author | Guangyu LI Yanping LIANG Li YU Kun WANG Yangming CHEN Sijia LIU |
| author_facet | Guangyu LI Yanping LIANG Li YU Kun WANG Yangming CHEN Sijia LIU |
| author_sort | Guangyu LI |
| collection | DOAJ |
| description | The voice service is one of the mainstream services under the telecommunications network.The mainstream voice service quality evaluation method in the industry is to compare the voice and audio of the transceiver and calculate the POLQA MOS, which is the standard benchmark for voice quality analysis.For telecom operators, perceive voice service quality efficiently without any infringement of user privacy, and carry out precise service quality assurance, is one of the key tasks.A system using mathematical statistics and neural network to learn the mapping between voice service feature data from network side and voice quality from user side to generate evaluation model with high accuracy and precision was proposed.On this basis, the system made use of data information from multiple fields including wireless network user level and cell level, to analyze reasons and work out solutions for poor service quality, so as to assure service quality efficiently and accurately.The result shows that the scheme has achieved good practical application results. |
| format | Article |
| id | doaj-art-b8eeb7e142d64de0b3bed487249d93b8 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-b8eeb7e142d64de0b3bed487249d93b82025-01-15T03:26:14ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-05-0137647159808026AI based scheme on voice service quality evaluation and assuranceGuangyu LIYanping LIANGLi YUKun WANGYangming CHENSijia LIUThe voice service is one of the mainstream services under the telecommunications network.The mainstream voice service quality evaluation method in the industry is to compare the voice and audio of the transceiver and calculate the POLQA MOS, which is the standard benchmark for voice quality analysis.For telecom operators, perceive voice service quality efficiently without any infringement of user privacy, and carry out precise service quality assurance, is one of the key tasks.A system using mathematical statistics and neural network to learn the mapping between voice service feature data from network side and voice quality from user side to generate evaluation model with high accuracy and precision was proposed.On this basis, the system made use of data information from multiple fields including wireless network user level and cell level, to analyze reasons and work out solutions for poor service quality, so as to assure service quality efficiently and accurately.The result shows that the scheme has achieved good practical application results.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021110/VoLTE servicequality assurancenetwork intelligence |
| spellingShingle | Guangyu LI Yanping LIANG Li YU Kun WANG Yangming CHEN Sijia LIU AI based scheme on voice service quality evaluation and assurance Dianxin kexue VoLTE service quality assurance network intelligence |
| title | AI based scheme on voice service quality evaluation and assurance |
| title_full | AI based scheme on voice service quality evaluation and assurance |
| title_fullStr | AI based scheme on voice service quality evaluation and assurance |
| title_full_unstemmed | AI based scheme on voice service quality evaluation and assurance |
| title_short | AI based scheme on voice service quality evaluation and assurance |
| title_sort | ai based scheme on voice service quality evaluation and assurance |
| topic | VoLTE service quality assurance network intelligence |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021110/ |
| work_keys_str_mv | AT guangyuli aibasedschemeonvoiceservicequalityevaluationandassurance AT yanpingliang aibasedschemeonvoiceservicequalityevaluationandassurance AT liyu aibasedschemeonvoiceservicequalityevaluationandassurance AT kunwang aibasedschemeonvoiceservicequalityevaluationandassurance AT yangmingchen aibasedschemeonvoiceservicequalityevaluationandassurance AT sijialiu aibasedschemeonvoiceservicequalityevaluationandassurance |