Support vector machines for emotion recognition in Chinese speech

Support vector machines (SVMs) are utilized for emotion recognition in Chinese speech in this paper. Both binary class discrimination and the multi class discrimination are discussed. It proves that the emotional features construct a nonlinear problem in the input space, and SVMs based on nonlinear mapping can solve it more effectively than other linear methods. Multi class classification based on SVMs with a soft decision function is constructed to classify the four emotion situations. Compared with principal component analysis (PCA) method and modified PCA method, SVMs perform the best result in multi class discrimination by using nonlinear kernel mapping.

如何缩小八年级英语两极分化问题

我们农村学校的学生由于绝大多数都是从初中开始学英语的,所以基础不是很牢固。在七年级时,由于内容较简单,基本能跟上;但是到了八年级往往就会出现两极分化。这种两极分化会直接影响学生们在整个中学阶段的学习成绩,影响他们以后的学习生活。造成两极分化的原因主要来自以下几个方面:

Novel feature fusion method for speech emotion recognition based on multiple kernel learning

In order to improve the performance of speech emotion recognition, a novel feature fusion method is proposed. Based on the global features, the local information of different kinds of features is utilized. Both the global and the local features are combined together. Moreover, the multiple kernel learning method is adopted. The global features and each kind of local feature are respectively associated with a kernel, and all these kernels are added together with different weights to obtain a mixed kernel for nonlinear mapping. In the reproducing kernel Hilbert space, different kinds of emotional features can be easily classified. In the experiments, the popular Berlin dataset is used, and the optimal parameters of the global and the local kernels are determined by cross-validation. After computing using multiple kernel learning, the weights of all the kernels are obtained, which shows that the formant and intensity features play a key role in speech emotion recognition. The classification results show that the recognition rate is 78. 74% by using the global kernel, and it is 81.10% by using the proposed method, which demonstrates the effectiveness of the proposed method.

Relationship between negative emotions and perceived support among parents of hospitalized,critically ill children

Objectives:The purpose of this study was to describe relationships between negative emotions and perceived emotional support in parents of children admitted to the pediatric intensive care unit(PICU).Methods:This cross-sectional descriptive study conducted face-to-face interviews between January 2019 and January 2020.Study variables included depression(PHQ-9 Scale),anxiety(Emotional Distress-Anxiety-Short Form 8a),anger(Emotional Distress-Anger-Short Form 5a),fear(Fear-Affect Computerized Adaptive Test),somatic fear(Fear-Somatic Arousal-Fixed Form),loneliness(Revised 20-item UCLA Loneliness Scale),and perceived emotional support(Emotional Support-Fixed Form).Results:Eighty parents reported symptoms of depression 8.00(4.00,13.75),anxiety(23.43±7.80),anger(13.40±5.46),fear(72.81±27.26),somatic fear 9.00(6.00,12.75),loneliness(39.35±12.00),and low perceived emotional support(32.14±8.06).Parents who were young,single,low-income,and with limited-post secondary education reported greater loneliness and lower perceived emotional support.Fear correlated with depression(r=0.737,P<0.01)and anxiety(r=0.900,P<0.01).Inverse relationships were discovered between perceived emotional support and loneliness(r=-0.767,P<0.01),anger(r=-0.401,P<0.01),and depression(r=-0.334,P<0.01).Conclusions:The cluster of negative emotions identified will serve as potential targets for future interventions designed to enhance support for parents of critically ill children.

The Diversification of Children＇s Support for Their Parents in the Context of an Aging Society： Concepts and Behavior

China＇s aging society and the family-based model of basic aged care determine that children＇s support for their parents directly affects the standard of living of the majority of the aging population. Existing theories indicate that in this era of social transition, the implications of filial piety have shifted from the traditional emphasis on the parent- child generational relationship and children＇s duty to obey their parents to a dual mode in which family love coexists with the authority of the elders. Using data from the Chinese General Social Survey of 2006, we explore the ways in which the two basic dimensions of authoritarian filial piety and reciprocal filial piety connect with various types of filial behavior. The results of our multivariate linear model show that on average, authoritarian filial piety, which emphasizes authority relationships and children＇s duty, increases children＇s financial support for their parents, while reciprocal filial piety, stressing family love and generational equality, significantly increases children＇s emotional support for their parents. A comparison of the basic dimensions of filial piety shows that neither significantly increases children＇s physical support for their parents. Further analysis of the interaction effect indicates that the link between authoritarian filial piety and financial support is more significant among younger groups. In addition, for males, a marginally significant positive relation exists between authoritarian filial piety and physical support for their parents.