情感识别是人工隋感研究中的一项重要任务。
Emotion recognition is an important field in artificial emotion research.
论文重点研究了基于BP神经网络的语音情感识别。
The paper has conducted the research focusing on speech emotion recognition based on BP neural network.
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。
Experiment results show the new method significantly improves accuracy of emotion classification and recognition in speech.
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。
Emotion recognition is a pivotal question of affective computing and a basic of founding harmonious human-computer interface environment.
而为了解决这种冲突矛盾，我们采用生理信号作为研究对象来分析情感识别。
In order to solve such conflicts, we have adopted physiological signals for the study to analyze the emotional identification.
实验结果说明基于视觉和听觉的多模态识别算法能提高计算机对人的情感识别率。
The findings show that the audio and video information can be combined using a rule-based system to improve the recognition 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。
A new method of speech emotion recognition via voting combination of multiple classifiers is proposed for improving speech emotion classification rate.
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。
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。
Speech emotion recognition is an important branch of emotion computing domain, which has been studied by many researchers from different perspectives.
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。
Automatic speech emotion recognition is a new research area with a wide range of applications in human-machine interactions.
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。
Furthermore, information visualization technology is also applied in the expression of emotion recognition results to achieve vivid high-level and descriptions of emotion information.
“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。
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.
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。
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).
因此文中引入基于进化算法的思想希望在生理信号情感识别领域中突破以往的局限，进而达到较好的效果和有效的特征组合。
Thus, this paper gives an introduction of evolutionary algorithm for recognizing emotions to break through the former limitations, achieve a better result and obtain an effective feature subset.
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。
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.
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。
In the field of speech emotion recognition, the emotion features of different emotional utterances are commonly extracted at same segment length level.
随后，他要求来自世界各地的人们来识别照片中所表达的情感。
He then asked people around the world to indicate what emotions were being depicted in photographs.
遗憾的是，情绪化的人很难识别、辨认、适应真相，因为他们的情感不允许。对维也纳而言，这不是好事。
Sadly, however, emotional people have the hardest time identifying, deciphering and living with the truth because their emotions don't let them, and this doesn't bode well for Vienna.
情感语音处理识别用户的情绪状态进行分析，说话方式。
Emotional speech processing recognizes the user's emotional state by analyzing speech patterns.
我们的大脑首先通过模式识别（pattern recognition)的方法判断正在发生的事情。 之后，由于记忆里情感的偏颇，我们对信息做出反映，又或者是无视它们。
Our brains assess what’s going on using pattern recognition, and we react to that information—or ignore it—because of emotional tags that are stored in our memories.
如果父母常跟孩子一道玩，孩子则往往得到其他孩子的认同，也善于识别并诠释其他孩子的情绪和情感。
If the parents often tell children a play, children often get the recognition of other children, but also good to identify and interpret the emotions and feelings of other children.
研究人员认为，随着这些身体感觉图谱的进一步研究，未来可能会找到识别和治疗情感障碍的新方法。
The researchers believe that further development of these bodily sensation maps may one day result in a new way of identifying and treating emotional disorders.
选用静态图像分析识别情感，系统实现时采用抓拍形式。
Emotion recognition use static image analysis system to capture the form used in the implementation.
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。
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.
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。
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.
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