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Description: 本平台包括语音的录制、播放、保存以及情感计算等功能，您可以根据自己的需要选择选择相应的菜单。
对于语音情感计算这个模块，如果您有现成的语音文件，您可以单击打开按钮，打开您要判断的语句，然后选择相应的功能。
如果您打开的是正常语音文件，请选择清浊分辨，然后再进行特征参数和情感计算；如果您打开的是鼾声，请选择鼾声分辨，并输入您想要的判别门限，然后再进行特征参数等的计算；如果您没有选择上面两个按钮，计算出来的将是原始语音的特征参数。
由于清浊音分辨是我们语音情感计算的预处理，所以如果您要进行情感计算，请先进行清浊音判断，否则情感状态的判别将不是很准确。-this platform include voice recording, broadcast, preservation and affective computing, and other functions. You can choose their own selection of the menu. Emotional Speech for the calculation module, if you have a ready-made sound files, you can click the Open button. open your statement to the judge, and then select the corresponding function. If you open the document is a normal voice, select Qingzhuo resolved, and then feature parameters and affective computing; If you open the snoring, snoring distinguish choice, and you want to import the discriminant threshold. then parameters for the calculation; If you have no choice above two buttons, calculated will be the voice of the original parameters. As Voicing our voice to tell Affective Computing pretreatment, so if you want to conduct
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Size: 82435 |
Author: beijingolympic.hi |
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Description: 本平台包括语音的录制、播放、保存以及情感计算等功能，您可以根据自己的需要选择选择相应的菜单。
对于语音情感计算这个模块，如果您有现成的语音文件，您可以单击打开按钮，打开您要判断的语句，然后选择相应的功能。
如果您打开的是正常语音文件，请选择清浊分辨，然后再进行特征参数和情感计算；如果您打开的是鼾声，请选择鼾声分辨，并输入您想要的判别门限，然后再进行特征参数等的计算；如果您没有选择上面两个按钮，计算出来的将是原始语音的特征参数。
由于清浊音分辨是我们语音情感计算的预处理，所以如果您要进行情感计算，请先进行清浊音判断，否则情感状态的判别将不是很准确。-this platform include voice recording, broadcast, preservation and affective computing, and other functions. You can choose their own selection of the menu. Emotional Speech for the calculation module, if you have a ready-made sound files, you can click the Open button. open your statement to the judge, and then select the corresponding function. If you open the document is a normal voice, select Qingzhuo resolved, and then feature parameters and affective computing; If you open the snoring, snoring distinguish choice, and you want to import the discriminant threshold. then parameters for the calculation; If you have no choice above two buttons, calculated will be the voice of the original parameters. As Voicing our voice to tell Affective Computing pretreatment, so if you want to conduct
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Size: 81920 |
Author: beijingolympic.hi |
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Description: PhpOK是情感个人开发的一套通用的企业网站建设系统，用户可以很轻松的搭建自己的企业形象网站。本程序采用网上最流行的WEB编程组合 PHP+MYSQL 实现，支持跨平台！
-Affective PhpOK personal development of a common set of enterprise website construction system, the user can easily set up their own corporate image site. This procedure using the Internet
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Size: 1253376 |
Author: 冲天怒 |
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Description: 关于情感计算的核心论文
对于不同的图像提出了情感模型的观点-Affective Computing on the core papers for the different images put forward the views of emotion model
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Size: 577536 |
Author: 裴 |
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Description: 关于视频内容情感分析的一篇非常基础的文章，适合做这方面研究的人员进行学习。-Affective video content about a very basic analysis of the article, make this area suitable research study personnel.
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Size: 2196480 |
Author: c王清源 |
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Description: Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100&plus recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.-Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100&plus recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.
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Size: 196608 |
Author: 武玉阳 |
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Description: 三维人脸识别的经典文章，是三维人脸表情识别论文争相引用的经典文章-Toward an Affect-Sensitive Multimodal
Human–Computer Interaction
Affective computing, affective states, automatic
analysis of nonverbal communicative cues, human–computer
interaction (HCI), multimodal human–computer interaction,
personalized human–computer interaction.
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Size: 648192 |
Author: 浪子 |
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Description: 三维人脸识别的经典文章，三维人脸表情引用次数极多的经典论文-Spontaneous Emotional Facial Expression Detection
Index Terms—affective computing, facial expression, one-class classification, emotion recognition
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Size: 119808 |
Author: 浪子 |
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Description: 此系统用C#编写，实现网上选课功能，学生可以根据个人兴趣爱好自由选择，并可以自由选择界面，加入了情感计算。-This system using C# written, and online enrollment feature, students can choose according to their personal interests and hobbies and are free to choose your interface, add the Affective Computing.
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Size: 10947584 |
Author: |
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Description: Subharmonic resonance occurrence in power
system more frequently. This paper used mathematical analysis
method for solving the nonlinear differential equations based on
the system equivalent diagram, and deduced the mathematical
expression of the subharmonic resonance, derived the relevant
affective factors of subharmonic resonance overvoltage
amplitude, and analyzed the influence of all relevant factors on
subharmonic resonance overvoltage in detail, finally validate the
conclusion of theoretical analysis using EMTP-ATP
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Size: 233472 |
Author: imedp |
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Description: Grid Web Services are new and rapidly evolving systems that provide services and share resources over a network. Web Services use Extensible Markup Language (XML) messages that follow the Simple Object Access Protocol (SOAP) standard and have been popular with traditional enterprise.
XML Denial of Service (XDoS) attacks are potential threats to Grid web services. These attacks are far less complex to implement than any previous Denial of Service (DoS) but still just as affective.
We create an effective defence against XDoS and upcoming DXDoS attacks by employing Service Oriented Traceback Architecture (SOTA) in Conjunction with a filter defence system called XDetector.-Grid Web Services are new and rapidly evolving systems that provide services and share resources over a network. Web Services use Extensible Markup Language (XML) messages that follow the Simple Object Access Protocol (SOAP) standard and have been popular with traditional enterprise.
XML Denial of Service (XDoS) attacks are potential threats to Grid web services. These attacks are far less complex to implement than any previous Denial of Service (DoS) but still just as affective.
We create an effective defence against XDoS and upcoming DXDoS attacks by employing Service Oriented Traceback Architecture (SOTA) in Conjunction with a filter defence system called XDetector.
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Size: 347136 |
Author: rathi |
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Description: 模拟生物情感程序,包括情感分析，语音的变速变调，语音的合成和识别。-Simulated bio-affective procedures, including the emotional analysis, a shift of voice tone change, etc.. .
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Size: 1394688 |
Author: wuzhangxiong |
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Description: Affective Computing and Interaction OnlyGi-Affective Computing and Interaction OnlyGill
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Size: 4910080 |
Author: oussama |
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Description: How to build affective mathematical models to understand
the behaviors of serial crimes is an interesting
research field in public security.
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Size: 826368 |
Author: ahmed |
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Description: 德国奥格斯堡基于生理信号的情感识别GUI工具箱。包括心电，皮电，呼吸和肌电信号。-Augsburg, Germany-based GUI toolkit emotion recognition of physiological signals. Including ECG, galvanic skin, respiratory and EMG.
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Size: 5537792 |
Author: 褚亚齐 |
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Description: 这本书包含有在2011年10月葡萄牙里斯本举行的15届葡萄牙人工智能会议中审阅的高质量论文。论文的主要内容包含有为游戏提供的人工智能方法,人工智能交通系统,人工生命进化算法,计算逻辑与应用程序,一般人工智能、智能机器人、知识发现和商业智能,多代理系统:理论和应用,社会仿真和建模等。
-The 50 revised full papers presented were carefully reviewed and selected from a total of 203 submissions. The papers are organized in topical sections on affective computing, ambient intelligence environments, artificial intelligence methodologies for games, artificial intelligence in transportation systems, artificial life evolutionary algorithms, computational logic with applications, general artificial intelligence, intelligent robotics, knowledge discovery and business intelligence, multi-agent systems: theory and applications, social simulation and modeling, text mining and applications, and doctoral symposium on artificial intelligence.
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Size: 19662848 |
Author: 刘丹 |
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Description: 情感神经网络工具箱 构建BELBIC控制器模型-Affective neural network toolbox to build BELBIC controller model
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Size: 26624 |
Author: nick |
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Description: 用于自然语言处理中的情感分析，是基于情感词典的情感分析-Affective analysis based on emotion dictionary for emotion analysis
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Size: 146432 |
Author: alicewoo |
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Description: 基于朴素贝叶斯方法的情感预测,有下溢出处理，通过归一化可以提高预测的准确度。-Affective forecasting based on naive bayesian method.
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Size: 635904 |
Author: ss_clara |
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Description: 按照极值表的文本情感分类，将对话中说话人A的情感分为积极，中性，消极。(Text affective classification)
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Size: 316416 |
Author: 小葱头
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