Multilingual Speech Emotion Research Based on Data Mining

In order to improve the effect of speech emotion research, this paper combines data mining technology to construct a speech emotion research model and establishes a state space model of speech emotion risk problem. Moreover, this paper uses fuzzy variables to describe the external uncertain environm...

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Main Author: Yanting Yu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/5265966
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author Yanting Yu
author_facet Yanting Yu
author_sort Yanting Yu
collection DOAJ
description In order to improve the effect of speech emotion research, this paper combines data mining technology to construct a speech emotion research model and establishes a state space model of speech emotion risk problem. Moreover, this paper uses fuzzy variables to describe the external uncertain environmental factors and intuitively shows the relationship between each technology, that is, clearly shows how actions and external environmental factors affect their action results, which is helpful in understanding the voice emotional risk problem from the root. In addition, this paper uses the basic knowledge of credibility theory to transform the model and finally transform the model into an optimal control problem. Through the speech emotion simulation experiment, it can be seen that the multilingual speech emotion analysis model based on data mining proposed in this paper has a good effect in speech emotion analysis.
format Article
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institution Kabale University
issn 1687-5699
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publishDate 2022-01-01
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series Advances in Multimedia
spelling doaj-art-d8d2f690e00b4a88b530081051fd6a9c2025-02-03T01:22:49ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/5265966Multilingual Speech Emotion Research Based on Data MiningYanting Yu0School of Earth ScienceIn order to improve the effect of speech emotion research, this paper combines data mining technology to construct a speech emotion research model and establishes a state space model of speech emotion risk problem. Moreover, this paper uses fuzzy variables to describe the external uncertain environmental factors and intuitively shows the relationship between each technology, that is, clearly shows how actions and external environmental factors affect their action results, which is helpful in understanding the voice emotional risk problem from the root. In addition, this paper uses the basic knowledge of credibility theory to transform the model and finally transform the model into an optimal control problem. Through the speech emotion simulation experiment, it can be seen that the multilingual speech emotion analysis model based on data mining proposed in this paper has a good effect in speech emotion analysis.http://dx.doi.org/10.1155/2022/5265966
spellingShingle Yanting Yu
Multilingual Speech Emotion Research Based on Data Mining
Advances in Multimedia
title Multilingual Speech Emotion Research Based on Data Mining
title_full Multilingual Speech Emotion Research Based on Data Mining
title_fullStr Multilingual Speech Emotion Research Based on Data Mining
title_full_unstemmed Multilingual Speech Emotion Research Based on Data Mining
title_short Multilingual Speech Emotion Research Based on Data Mining
title_sort multilingual speech emotion research based on data mining
url http://dx.doi.org/10.1155/2022/5265966
work_keys_str_mv AT yantingyu multilingualspeechemotionresearchbasedondatamining