Anger recognition in speech dialogue systems can help to enhance human computer interaction. In this paper we report on the setup and performance optimization techniques for successful anger classification using acoustic cues. We evaluate the performance of a broad variety of features on both a German and an American English voice portal database which contain “real” speech, i.e. non-acted, con...

Anger recognition in speech dialogue systems can help to enhance human computer interaction. In this paper we report on the setup and performance optimization techniques for successful anger classification using acoustic cues. We evaluate the performance of a broad variety of features on both a German and an American English voice portal database which contain “real” speech, i.e. non-acted, con...

<p><span lang="EN-US">We usually encounter two problems during speech emotion recognition (SER): expression and perception problems, which vary considerably between speakers, languages, sentence pronunciation. In fact, finding an optimal system that characterizes the emotions overcoming all these differences is a promising prospect. this perspective, we considered emotional database...

This paper presents a machine learning study of affective words in Russian and Romanian languages. We tag the word affective meaning by one of the WordNet Affect six labels anger, disgust, fear, joy, sadness, surprise and group into “positive” (joy, surprise) and “negative” (anger, disgust, fear, sadness) classes. We use the word spelling, a word form, to represent words in machine learning exp...

This paper reviewed the studies on hwa-byung (HB), which literally means anger disorder and this is known as the culture-related chronic anger syndrome of Koreans. Based on these studies and a review of the literature on the anger syndromes of other cultures, I have proposed a new anger disorder. The rationale for this proposition is first that the clinical correlates of HB, including the epide...

Speech is one of the most opulent and instant methods to express emotional characteristics of human beings, which conveys the cognitive and semantic concepts among humans. In this study, a statistical-based method for emotional recognition of speech signals is proposed, and a learning approach is introduced, which is based on the statistical model to classify internal feelings of the utterance....

aim and background: asthma is a chronic illness that can severely affect people's lives. the aim of this study was to compare anxiety, depression, brain behavioural systems (bis-bas), coping styles, anger and hostility among people with and without asthma. methods and materials: fifty women with asthma attending shahid motahhari specialized clinic in shiraz and 50 normal women were selected usi...