The Application of Intelligent Voice Analysis Technology in the Customer Call Center of Telecom Operators

被引:0
|
作者
Zhang Kai [1 ]
He Jin [1 ]
Yang Jinzhou [1 ]
Zhang Xiao [1 ]
Wang Zhijun [1 ]
机构
[1] China Unicom Inst, Platform & Prod Lab, Beijing, Peoples R China
关键词
Intelligent voice recognition; Telecom operators; Customer service center; Cloud computing;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Call center is one of the most important means for telecom operators to provide after-sales service for customers. Every day, call center can produce a large number of voice data. But these data do not bring significant value to the enterprise. Recent years, the development of intelligent voice technology has brought a turning point for the operator call center. By using the intelligent voice technology, telecom operators can analyze user behavior characteristics. And then they can develop a behavioral warning, precision marketing and other business strategies. In this article, we introduce the key technologies of intelligent voice technology which could be used in call center. And base on the cloud computing technology, we point out the overall architecture and working mechanism of the intelligent voice analysis system. The new system architecture will bring great value to telecom operators.
引用
收藏
页码:1822 / 1827
页数:6
相关论文
共 50 条
  • [31] Changes in objective acoustic measurements and subjective voice complaints in call center customer-service advisors during one working day
    Lehto, Laura
    Laaksoneia, Laura
    Vilkman, Erkki
    Alku, Paavo
    JOURNAL OF VOICE, 2008, 22 (02) : 164 - 177
  • [32] PLC mechatronics technology in the field of intelligent control application analysis
    Zhang, Li
    Wu, Baoyin
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [33] Analysis on the Application of Intelligent Detection Technology in Vehicle Performance Testing
    Yu Haiyang
    2019 INTERNATIONAL CONFERENCE ON ARTS, MANAGEMENT, EDUCATION AND INNOVATION (ICAMEI 2019), 2019, : 189 - 194
  • [34] Prevalence of Voice Problems, Self-Reported Vocal Symptoms and Associated Risk Factors in Call Center Operators (CCOs): A Systematic Review
    Nair, Chandini B.
    Nayak, Srikanth
    Maruthy, Santosh
    Krishnan, Jisha B.
    Devadas, Usha
    JOURNAL OF VOICE, 2024, 38 (01) : 245.e1 - 245.e15
  • [35] The influence of emotions and communication style on customer satisfaction and recommendation in a call center context: An NLP-based analysis
    De Cleen, Thomas
    Baecke, Philippe
    Goedertier, Frank
    JOURNAL OF BUSINESS RESEARCH, 2025, 189
  • [36] Data analysis and mining environment: A distributed intelligent agent technology application
    Sugumaran, Vijayan
    Bose, Ranjit
    Industrial Management and Data Systems, 1999, 99 (01): : 71 - 80
  • [37] Application of Artificial Intelligence Technology in Vulnerability Analysis of Intelligent Ship Network
    Lan, Dan
    Xu, Peilong
    Nong, Jia
    Song, Junkang
    Zhao, Jie
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2024, 17 (01)
  • [38] Analysis of Intelligent Technology Application Applied in Electric Engineering Automation Control
    Zhang, Huili
    2016 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE, MANAGEMENT AND ECONOMICS (SSME 2016), 2016, : 679 - 683
  • [39] Data analysis and mining environment: a distributed intelligent agent technology application
    Sugumaran, V
    Bose, R
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 1999, 99 (1-2) : 71 - 80
  • [40] Application Analysis of Intelligent Irrigation System Based on Internet of Things Technology
    Luo, Wen
    Xu, Yuan
    Shen, Zili
    2020 2ND GLOBAL CONFERENCE ON ECOLOGICAL ENVIRONMENT AND CIVIL ENGINEERING, 2020, 568