NLP技术在智能语音质检中的应用  

The Application of NLP Technology in Intelligent Speech Quality Inspection

作　　者：钟琳 ZHONG Lin(Tianjin Branch of Cnooc Information Technology Co.,Ltd.,Tianjin 300450,China)

机构地区：[1]中海油信息科技有限公司天津分公司,天津300450

出　　处：《电声技术》2024年第3期57-59,共3页Audio Engineering

摘　　要：在数字化时代,智能语音质检成为企业提升工作效率的重要工具,其中自然语言处理(Natural Language Processing,NLP)技术的应用为智能语音质检提供了技术支持。NLP技术通过情感分析、语义分析等手段,使得质检过程更加高效、准确,并降低了质检成本。基于此,探讨了NLP技术在智能语音质检中的应用优势和具体实现方式。In the digital age,intelligent voice quality inspection has become an important tool for enterprises to improve work efficiency.Among them,the application of Natural Language Processing(NLP)technology provides technical support for intelligent speech quality inspection.NLP technology makes the quality inspection process more efficient and accurate through methods such as sentiment analysis and semantic analysis,and reduces the cost of quality inspection.Based on this,the article explores the application advantages and specific implementation methods of NLP technology in intelligent voice quality inspection.

关 键 词：自然语言处理(NLP) 智能语音质检 优势 

分 类 号：G230.7[文化科学]