摘要
针对国网客服电话语音识别在特定领域核心词识别效果差的问题,提出一种基于HCLG领域词权重增强和领域词纠正的方法,能够实时并快速地添加领域词,从而动态地优化语言模型,提升语音识别效果。将该模型和算法优化应用在国网客服中心电话语音的咨询、维修、投诉等各种领域场景中,其语音识别结果都得到大幅改善。
Aiming at the problem that the national network customer telephone voice recognition has poor recognition of core words in specific fields,this paper proposes a method based on HCLG domain weight enhancement and domain word correction,which can add domain words in real time and quickly,to dynamically optimize the language model and improve speech recognition.The model and algorithm are optimized in the various fields of the telephone voice consultation,maintenance,complaints,etc.of the State Grid Customer Service Center.The speech recognition results have been greatly improved.
作者
杨维
张才俊
马永波
Yang Wei;Zhang Caijun;Ma Yongbo(IT Department,State Grid Customer Service Center,Tianjin 300000,China)
出处
《电子技术应用》
2019年第2期9-11,共3页
Application of Electronic Technique