专利视角下智能语音质检关键核心技术主题的研究
Research on Key Core Technology Topics of Intelligent Voice Quality Inspection from the Patent Perspective
徐蕊 1何萍 2赵涵 3马勇3
作者信息
- 1. 江西省知识产权保护中心预审服务科,南昌 330029
- 2. 成都信息工程大学图书馆,成都 610225
- 3. 江西师范大学数字产业学院,上饶 334000
- 折叠
摘要
[目的/意义]基于专利数据识别智能语音质检关键核心技术主题,根据识别结果指明关键核心技术方向.[方法/过程]构建LDA主题模型,洞察专利智能语音质检关键核心技术的研究热点、技术演化趋势等.[结果/结论]本文共识别出 8 个核心技术主题,其中语音识别与语义理解、自然语言处理、语音情感分析最为关键,与国家政策导向相适应,可以集中优势资源合理布局.
Abstract
[Purpose/significance]To identify the key core technology themes of intelligent voice quality inspection based on patent data,and to indicate the key core technology direction according to the recognition results.[Method/process]The LDA topic model is constructed to probe into the research hotspot and technological evolution trend of the key core technologies of intelligent voice quality inspection.[Result/conclusion]In this paper,eight core technical topics are identified,among which speech recognition and semantic understanding,natural language processing and voice emotion analysis are the most critical.These topics are in line with national policy orientation and superior resources can be concentrate in a reasonable layout.
关键词
智能语音质检/专利分析/LDA模型/主题挖掘Key words
intelligent voice quality inspection/patent analysis/LDA model/topic mining引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据