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Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition

The rapid development of computer technology and artificial intelligence is affecting people’s daily lives, where language is the most common way of communication in people’s daily life. To apply the emotion information contained in voice signals to artificial intelligence products after analysis, t...

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Detalles Bibliográficos
Autores principales: Wu, Xu, Zhang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114816/
https://www.ncbi.nlm.nih.gov/pubmed/35602743
http://dx.doi.org/10.3389/fpsyg.2022.882709
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author Wu, Xu
Zhang, Qian
author_facet Wu, Xu
Zhang, Qian
author_sort Wu, Xu
collection PubMed
description The rapid development of computer technology and artificial intelligence is affecting people’s daily lives, where language is the most common way of communication in people’s daily life. To apply the emotion information contained in voice signals to artificial intelligence products after analysis, this article proposes a design based on voice emotion recognition for aging intelligent home products with RBF. The authors first aimed at a smart home design, and based on the problem of weak adaptability and learning ability of the aging population, a speech emotion recognition method based on a hybrid model of Hidden Markov/Radial Basis Function Neural Network (HMM/RBF) is proposed. This method combines the strong dynamic timing modeling capabilities of the HMM model and the strong classification decision-making ability of the RBF model, and by combining the two models, the speech emotion recognition rate is greatly improved. Furthermore, by introducing the concept of the dynamic optimal learning rate, the convergence speed of the network is reduced to 40.25s and the operation efficiency is optimized. Matlab’s simulation tests show that the recognition speed of the HMM/RBF hybrid model is 9.82–12.28% higher than that of the HMM model and the RBF model alone, confirming the accuracy and superiority of the algorithm and model.
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spelling pubmed-91148162022-05-19 Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition Wu, Xu Zhang, Qian Front Psychol Psychology The rapid development of computer technology and artificial intelligence is affecting people’s daily lives, where language is the most common way of communication in people’s daily life. To apply the emotion information contained in voice signals to artificial intelligence products after analysis, this article proposes a design based on voice emotion recognition for aging intelligent home products with RBF. The authors first aimed at a smart home design, and based on the problem of weak adaptability and learning ability of the aging population, a speech emotion recognition method based on a hybrid model of Hidden Markov/Radial Basis Function Neural Network (HMM/RBF) is proposed. This method combines the strong dynamic timing modeling capabilities of the HMM model and the strong classification decision-making ability of the RBF model, and by combining the two models, the speech emotion recognition rate is greatly improved. Furthermore, by introducing the concept of the dynamic optimal learning rate, the convergence speed of the network is reduced to 40.25s and the operation efficiency is optimized. Matlab’s simulation tests show that the recognition speed of the HMM/RBF hybrid model is 9.82–12.28% higher than that of the HMM model and the RBF model alone, confirming the accuracy and superiority of the algorithm and model. Frontiers Media S.A. 2022-05-04 /pmc/articles/PMC9114816/ /pubmed/35602743 http://dx.doi.org/10.3389/fpsyg.2022.882709 Text en Copyright © 2022 Wu and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Wu, Xu
Zhang, Qian
Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition
title Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition
title_full Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition
title_fullStr Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition
title_full_unstemmed Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition
title_short Design of Aging Smart Home Products Based on Radial Basis Function Speech Emotion Recognition
title_sort design of aging smart home products based on radial basis function speech emotion recognition
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114816/
https://www.ncbi.nlm.nih.gov/pubmed/35602743
http://dx.doi.org/10.3389/fpsyg.2022.882709
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