Research on Emotion Recognition from Speech-Features and Models;
有无法控制的兴奋或情感的特征。
Emotion recognition is an important field in artificial emotion research.
情感识别是人工隋感研究中的一项重要任务。
Emotion recognition use static image analysis system to capture the form used in the implementation.
选用静态图像分析识别情感，系统实现时采用抓拍形式。
This paper examined the relationship between young children's emotion recognition and peer relation.
本研究探讨了幼儿的情绪认知能力和同伴关系的关系。
The paper has conducted the research focusing on speech emotion recognition based on BP neural network.
论文重点研究了基于BP神经网络的语音情感识别。
Automatic speech emotion recognition is a new research area with a wide range of applications in human-machine interactions.
基于语音的自动人类情感识别是近年来新兴的研究课题，它在人机通信中有广阔的应用前景。
Emotion recognition is a pivotal question of affective computing and a basic of founding harmonious human-computer interface environment.
情感识别是情感计算的一个关键问题，是建立和谐人机环境的基础之一。
Speech emotion recognition is an important branch of emotion computing domain, which has been studied by many researchers from different perspectives.
语音情感识别是情感计算领域的一个重要分支，研究者们尝试从多种角度对其展开不懈研究。
A new method of speech emotion recognition via voting combination of multiple classifiers is proposed for improving speech emotion classification rate.
为了提高语音情感的正确识别率，提出一种基于多分类器投票组合的语音情感识别新方法。
In the field of speech emotion recognition, the emotion features of different emotional utterances are commonly extracted at same segment length level.
语音情感识别领域提取情感特征时，普遍采用“不同情感类别，相同时长基准”的做法，忽略了人耳敏感的韵律段长会依情感不同而有所差异的现象。
So moral education should not only raise the moral rational level, but also strengthen the moral emotion recognition and arouse the need of moral emotion.
因此，道德教育不仅要重视其道德理性层面的提高，更应加强其道德情感层面的认同，唤起其道德情感的需要。
Using its emotion recognition functions, Pepper can react to people by making jokes, dancing and even rapping. It can also make eye contact when meeting people.
“小辣椒”能运用情感识别功能对附近的人做出反应：讲笑话、跳舞，甚至说唱。它还能与人进行眼神交流。
Emotion recognition of speech is signification for artificial intelligence research; the feature parameters distillate accuracy influences recognition-rate directly.
语音情感识别是人工智能的重要研究领域之一，特征参数提取的准确性直接影响识别的效果。
The entropy series and neurons firing series of the image obtained by feeding the spectrogram into PCNN were used as the characteristics of emotion speech for emotion recognition.
该方法将语音转化为语谱图后输入到PCNN，得到输出图像的神经元点火序列及其熵序列作为语音情感的特征，利用其特征实现语音情感识别。
Furthermore, information visualization technology is also applied in the expression of emotion recognition results to achieve vivid high-level and descriptions of emotion information.
另外，还将信息可视化技术应用到情感识别结果的表达上，实现情感信息的生动描述和高效表达。
A speech emotion recognition method is also presented based on weighted Euclidean distance template matching, in which the weights of features are calculated by the method of contribution analysis.
同时提出采用贡献分析法确定情感特征参数的权值，利用加权欧氏距离模板匹配识别语音情感。
An improved immune particle swarm optimization was presented in this study in order to increase the effectiveness of feature selection for emotion recognition based on Galvanic Skin Response (GSR).
为了增强情感识别过程中皮肤电反应(GSR)信号特征选择的有效性，提出了一种改进的模拟退火免疫粒子群算法。
According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.
分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。
In the future, computers may read the emotion of people by using facial recognition technology.
在未来，计算机可以通过人脸识别技术读取人的情绪。
Automatic recognition of emotion plays an important role in developing future intelligent systems.
而情绪识别技术则是未来智能化计算机开发过程中非常重要的一个环节。
Females of all ages outperform males on tests requiring the recognition of emotion or relationships among other people.
在情感认知或人际关系处理能力的测试中，无论是在哪一个年龄段，女性的表现都远远好过男性。
During these stages, medical ethics emotion mainly manifests as obedience, selection and recognition, internalization and sublimation of medical ethics principles and norms.
在这些阶段，医德情感主要表现为对医德原则规范的顺从、选择与认同、内化及升华。
Experiment results show the new method significantly improves accuracy of emotion classification and recognition in speech.
实验结果证明这种新的方法有效地提高了语音情感识别的准确率。
Absrtact: To overcome the deficiency of emotion absence in traditional network education system, an intelligent network teaching system model based on facial expressing recognition is proposed.
摘要：针对传统智能网络教学系统中存在情感缺失的问题，探索性地设计并提出了一种基于人脸表情识别的智能网络教学系统模型。
Absrtact: To overcome the deficiency of emotion absence in traditional network education system, an intelligent network teaching system model based on facial expressing recognition is proposed.
摘要：针对传统智能网络教学系统中存在情感缺失的问题，探索性地设计并提出了一种基于人脸表情识别的智能网络教学系统模型。
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