Emotion management based on speech signal analysis

Chenrui Hu

doi:10.1117/12.2661053

2 February 2023 Emotion management based on speech signal analysis

Chenrui Hu

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124621X (2023) https://doi.org/10.1117/12.2661053
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

Emotion will have an important impact on human behavior, and emotion management needs to be paid attention to, and speech is a significant way to reflect human emotion. The speech information rich in speech can show the inner emotional information of the speaker, and the speech signal analysis is an effective method to achieve. Through speech recognition system, the feature parameters of speaker speech are extracted, and the speech samples are classified by support vector machine (SVM) algorithm, so as to obtain the emotion data of speaker speech. Use the acquired emotional data to build a personal emotional database, so as to show the long-term emotional state of individuals. In this way, we can observe people's long-term emotional trend and avoid mental illness.

Citation Download Citation

Chenrui Hu "Emotion management based on speech signal analysis", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124621X (2 February 2023); https://doi.org/10.1117/12.2661053

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