Keyword Retrieval of Foreign Media Discourse Based on Dynamic Speech Recognition

DOI

10.2991/978-94-6463-044-2_73How to use a DOI?

Keywords

foreign media reports; Dynamic speech recognition; Foreign media discourse

Abstract

Foreign media reports are an important window for domestic audiences to understand the national conditions of other countries, as well as the main position of foreign national image construction and the public opinion field of international issues. In order to improve the keyword retrieval and monitoring ability of foreign media discourse, a keyword retrieval method of foreign media discourse based on dynamic speech recognition is proposed. An optimization learning model for keyword matching and retrieval of foreign media discourse under the audience public opinion monitoring system is established, the attribute detection and semantic association rule dynamic identification of foreign media discourse keywords under the audience public opinion monitoring system through rough set semantic feature detection and keyword typed pronunciation dynamic feature matching analysis is realized, and combine speech signal spectrum analysis, semantic fusion clustering and adaptive fusion algorithm, the density clustering of foreign media discourse keywords in the retrieval process under the audience public opinion monitoring system is realized, the difference of density distribution according to the information clustering results is calculated, the optimal retrieval of foreign media discourse keywords under the audience public opinion monitoring system according to the stationary characteristics and associated characteristics distribution of the time series of voice signals is realized. The test shows that this method has high precision, good precision and recall in keyword retrieval of foreign media discourse under the public opinion monitoring system of audience groups.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Meng Li
PY  - 2022
DA  - 2022/12/27
TI  - Keyword Retrieval of Foreign Media Discourse Based on Dynamic Speech Recognition
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 571
EP  - 581
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_73
DO  - 10.2991/978-94-6463-044-2_73
ID  - Li2022
ER  -