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13 June 2024 Research and design of emotional management for the empty-nest elderly
Beiyu Yuan
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Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131804Y (2024) https://doi.org/10.1117/12.3033771
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China
Abstract
Along with the aging of population, the mental health problems of empty-nest elderly people become increasingly prominent. Speech emotion recognition technology can analyse the speech signals of the elderly and identify their emotional states, thus providing them with timely emotional care and support. This paper focuses on speech emotion recognition and discusses how to use the emotional information in speech signals to achieve emotional monitoring of empty-nest elderly people. This paper first proposes a design of a speech emotion recognition system, then builds an emotional speech database and extracts relevant features of speech signals, and finally, effectively combines the features of speech signals with the existing SVM model, forming the complete speech emotion recognition algorithm, which achieves satisfactory results in recognizing the five basic emotions of the elderly (happiness, sadness, anger, neutral, and fear). The feasibility of the design of the speech emotion recognition system is verified, and a new idea for the development of future welfare technology for the elderly is provided in this paper.
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Beiyu Yuan "Research and design of emotional management for the empty-nest elderly", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131804Y (13 June 2024); https://doi.org/10.1117/12.3033771
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KEYWORDS
Emotion
Speech recognition
Databases
Feature extraction
Signal processing
Design
Mathematical optimization
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