A monitoring system to detect emotional outbursts in day-to-day communication is presented. The anger monitor was tested in a household and in parallel in an office surrounding. Although the state of the art of emotion recognition seems sufficient for practical applications, the acquisition of good training material remains a difficult task, as cross database performance is too low to be used in this context. A solution will probably consist of the combination of carefully drafted general training databases and the development of usability concepts to (re-) train the monitor in the field
Anger recognition in speech dialogue systems can help to enhance human commputer interaction. In thi...
We propose to observe users ’ spontaneous facial expressions as a method to identify adverse-event o...
Abstract—We present a method to classify fixed-duration windows of speech as expressing anger or not...
In this paper, an emotion classification system based on speech signals is presented. The classifier...
Abstract: We report on the progress with respect to an emotion-aware voice portal concerning several...
Anger detection is a topic that is gaining more and more atten-tion with voice portal carriers, as i...
Abstract. To detect emotional user behavior, particularly anger, can be very useful for suc-cessful ...
Nowadays, emotion detection based on the physiological changes of the body is a major concern. Anger...
Affective signal processing algorithms were developed to allow a digital computer to recognize the a...
Machine learning researchers have dealt with the identification of emo- tional cues from speech sinc...
Anger is one of the feeling that showing strong resentment that can be found in facial expressions, ...
Employee health and well-being are now the most important considerations in the workplace. Because i...
The mystery surrounding emotions, how they work and how they affect our lives has not yet been unrav...
The field of artificial intelligence has seen an increasing number of researches being done related ...
Recent research has provided evidence that software developers experience a wide range of emotions. ...
Anger recognition in speech dialogue systems can help to enhance human commputer interaction. In thi...
We propose to observe users ’ spontaneous facial expressions as a method to identify adverse-event o...
Abstract—We present a method to classify fixed-duration windows of speech as expressing anger or not...
In this paper, an emotion classification system based on speech signals is presented. The classifier...
Abstract: We report on the progress with respect to an emotion-aware voice portal concerning several...
Anger detection is a topic that is gaining more and more atten-tion with voice portal carriers, as i...
Abstract. To detect emotional user behavior, particularly anger, can be very useful for suc-cessful ...
Nowadays, emotion detection based on the physiological changes of the body is a major concern. Anger...
Affective signal processing algorithms were developed to allow a digital computer to recognize the a...
Machine learning researchers have dealt with the identification of emo- tional cues from speech sinc...
Anger is one of the feeling that showing strong resentment that can be found in facial expressions, ...
Employee health and well-being are now the most important considerations in the workplace. Because i...
The mystery surrounding emotions, how they work and how they affect our lives has not yet been unrav...
The field of artificial intelligence has seen an increasing number of researches being done related ...
Recent research has provided evidence that software developers experience a wide range of emotions. ...
Anger recognition in speech dialogue systems can help to enhance human commputer interaction. In thi...
We propose to observe users ’ spontaneous facial expressions as a method to identify adverse-event o...
Abstract—We present a method to classify fixed-duration windows of speech as expressing anger or not...