基于AI的电信网络语音数据挖掘系统设计  

Design of an AI based Telecommunications Network Voice Data Mining System

作　　者：李锋 刘申申 任妍 LI Feng;LIU Shenshen;REN Yan(China United Network Communications Co.,Ltd.,Beijing Branch,Beijing 100052,China)

机构地区：[1]中国联合网络通信有限公司北京市分公司,北京100052

出　　处：《电声技术》2025年第2期101-103,共3页Audio Engineering

摘　　要：随着通信技术的发展,电信运营商积累了大量对于提升服务质量和用户体验具有重要价值的语音通话数据。为给电信业务创新提供有力支持,提出一种基于人工智能(ArtificialIntelligence,AI)的电信网络语音数据挖掘系统。该系统采用先进的深度学习模型和数据挖掘算法,能准确识别语音内容,提取情感信息,并进行用户画像构建。With the development of communication technology,telecom operators have accumulated a large amount of voice call data which is of great value for improving service quality and user experience.In order to provide strong support for telecommunication service innovation,an Artificial Intelligence(AI) based telecommunication network voice data mining system is proposed.The system adopts advanced deep learning model and data mining algorithm,which can accurately identify voice content,extract emotional information,and construct user portrait.

关 键 词：电信网络 语音数据挖掘 人工智能(AI) 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]