Wu Xu, Zhang Qian
School of Art and Design, Tianjin University of Technology, Tianjin, China.
School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin, China.
Front Psychol. 2022 May 9;13:882699. doi: 10.3389/fpsyg.2022.882699. eCollection 2022.
To solve a series of pension problems caused by aging, based on the emotional recognition of the Internet of Things, the control method and system research of smart homes are proposed. This article makes a detailed analysis and research on the necessity, feasibility, and how to realize speech emotion recognition technology in smart families, introduces the definition and classification of emotion, and puts forward five main emotions to be recognized in speech emotion recognition based on smart family environment. Then, based on this, it analyses the acquisition methods of emotional speech data. On this premise, this article discusses and analyses the related problems of voice data acquisition in smart homes, such as the voice characteristics and acquisition methods, puts forward three rules for voice text design, and determines the relatively suitable hybrid recording acquisition method applied in a smart home environment. At the same time, the design and establishment process of intelligent family emotional speech database is described in detail. The related problems of feature extraction in speech emotion recognition are studied. Starting from the definition of feature extraction, this article expounds on the necessity of feature extraction in the process of recognition and analyses the characteristics of the speech signals. For the specific environment of the smart family, the speech signal required to be processed needs to be close to the auditory characteristics of the human ears, and the speech signal contains enough information. Finally, the Mel frequency cepstrum coefficient (MFCC) is selected as the feature parameter applied in this article, and the extraction process of MFCC is introduced in detail.
为解决老龄化带来的一系列养老问题，基于物联网的情感识别，提出了智能家居的控制方法及系统研究。本文对智能家庭中语音情感识别技术的必要性、可行性以及如何实现进行了详细的分析与研究，介绍了情感的定义与分类，并提出了基于智能家庭环境的语音情感识别中要识别的五种主要情感。然后，在此基础上分析了情感语音数据的采集方法。在此前提下，本文探讨并分析了智能家居中语音数据采集的相关问题，如语音特征与采集方法，提出了语音文本设计的三条规则，并确定了在智能家居环境中应用的相对合适的混合录音采集方法。同时，详细描述了智能家庭情感语音数据库的设计与建立过程。研究了语音情感识别中特征提取的相关问题。本文从特征提取的定义出发，阐述了其在识别过程中的必要性，分析了语音信号的特点。针对智能家庭的具体环境，待处理的语音信号需接近人耳听觉特性且包含足够信息。最后，选取梅尔频率倒谱系数（MFCC）作为本文应用的特征参数，并详细介绍了MFCC的提取过程。
