基于AI+大数据的语音智能评测系统设计与应用  

Design and Application of Voice Intelligent Evaluation System Based on AI+Big Data

作　　者：郑玮 周忠良 刘召阳 ZHENG Wei;ZHOU Zhongliang;LIU Zhaoyang(China Mobile Communications Group Henan Co.,Ltd.,Zhengzhou 450000,China)

机构地区：[1]中国移动通信集团河南有限公司,郑州450000

出　　处：《移动信息》2025年第2期202-204,共3页Mobile Information

摘　　要：目前,现网缺乏对VoLTE语音通话MOS值实时监测体系、有效端到端分析手段和问题定界/定位方法.随着大数据和人工智能等新兴技术的广泛应用,推进网络运维的数智化转型迫在眉睫.文中提出了一种基于AI+大数据的语音智能评测系统,通过AI+大数据分析手段,基于深度学习进行模型研制,通过统一DPI系统,结合离线训练+在线应用两大模块,实现了故障/投诉/性能发现定位的准确性、及时性、有效性能力转化,实现了语音智能评测技术落地,填补了通信领域实时自动语音MOS值测评、质差事件历史信息回溯、网络割接全量验证了项支撑手段的空白.At present,there is a lack of real-time monitoring system for MOS value of VoLTE voice calls,effective end-to-end analysis methods and problem demarcation/location methods.With the wide application of emerging technologies such as big data and artificial intelligence,it is urgent to promote the digital intelligent transformation of network operation and maintenance.This paper proposes a voice intelligent evaluation system based on AI+big data.Through AI+big data analysis,model development is carried out based on deep learning.Through a unified DPI system,combined with two modules of offline training and online application,accuracy,timeliness and effectiveness of fault/complaint/performance discovery and positioning are realized.The successful implementation of voice intelligent evaluation technology fills the gaps of three supporting means in the field of communication:real-time automatic speech MOS value evaluation,poor quality event history information backtracking,and network cutover full verification.

关 键 词：大数据 AI 语音质量 智能评估 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]