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基于声学模型的不良语音识别技术研究
引用本文:杜刚,朱艳云,张晨,杜雪涛.基于声学模型的不良语音识别技术研究[J].电信工程技术与标准化,2019,32(12).
作者姓名:杜刚  朱艳云  张晨  杜雪涛
作者单位:中国移动通信集团设计院有限公司,北京,100080
摘    要:不良语音识别技术是在高清音视频业务中监测不良信息的有效手段。本文提出了一个基于声学模型的不良语音识别框架。并针对框架中特征提取、声学模型构建、不良语音判定模型三个重要部分的实现方法进行分析描述。并列举了各种方法的优缺点。对构建高效的不良语音识别系统具有较高的参考价值。

关 键 词:人工智能  语音识别  声学模型  不良语音识别
收稿时间:2019/11/20 0:00:00
修稿时间:2019/11/21 0:00:00

Research on Bad Speech Recognition Technology Based on Acoustic Model
Du Gang,Zhu Yanyun,Zhang Chen and DU Xuetao.Research on Bad Speech Recognition Technology Based on Acoustic Model[J].Telecom Engineering Technics and Standardization,2019,32(12).
Authors:Du Gang  Zhu Yanyun  Zhang Chen and DU Xuetao
Institution:Institute of 5G Innovation and Application,China Mobile Group Design Institute Co.,Ltd.,Institute of 5G Innovation and Application,China Mobile Group Design Institute Co.,Ltd.,Institute of 5G Innovation and Application,China Mobile Group Design Institute Co.,Ltd.,Institute of 5G Innovation and Application,China Mobile Group Design Institute Co.,Ltd.
Abstract:Bad speech recognition technology is an effective means to monitor bad information in high-definition audio and video services. This paper presents a framework for bad speech recognition based on acoustic models. The paper analyzes and describes the implementation methods of three important parts: feature extraction, acoustic model construction and bad speech judgment model. And enumerate the advantages and disadvantages of various methods. It has a high reference value for constructing an efficient bad speech recognition system.
Keywords:artificial  intelligence  speech  recognition  acoustic  modeling  bad  speech recognition
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