the effectiveness of exposure treatment for different types of anxiety disorders has been well established.overall,effective techniques to reduce fear or anxiety involve exposing the patient to distressing situation until he/she adapts to situation.desensitization,flooding,implosion,modeling,cagnitive rehearsal,and even some traditional strategies can all be viewed as variations of the techn...

Previous research has examined the effects of emotional experience (i.e., the ease with which words evoke emotion information) in semantic categorization (SCT), word naming, and Stroop tasks (Newcombe et al., 2012; Siakaluk et al., 2014; Moffat et al., 2015). However, to date there are no published reports on whether emotional experience influences performance in the lexical decision task (LDT)...

speech emotion can add more information to speech in comparison to available textual information. however, it will also lead to some problems in speech recognition process. in a previous study, we depicted the substantial changes of speech parameters caused by speech emotion. therefore, in order to improve emotional speech recognition rate, in a first step, the effects of emotion on speech par...

There is much empirical evidence that words' relative imageability and body-object interaction (BOI) facilitate lexical processing for concrete nouns (e.g., Bennett et al., 2011). These findings are consistent with a grounded cognition framework (e.g., Barsalou, 2008), in which sensorimotor knowledge is integral to lexical processing. In the present study, we examined whether lexical processing...

the concept of communication apprehension and emotional intelligence has been indicated as two concepts which are new in the field of psychology, communication and organizational behavior. this article has tried to study the relationship between communication apprehension levels and emotional intelligence between the staff of islamic republic of iran broadcasting. the population of the study in...

Deep learning techniques have been successfully applied to speech processing. Typically, neural networks (NNs) are very effective in processing nonlinear features, such as mel cepstral coefficients (MCC), which represent the spectrum features in voice conversion (VC) tasks. Despite these successes, the approach is restricted to problems with moderate dimension and sufficient data. Thus, in emot...

BACKGROUND Emotional dysregulation in subjects with attention deficit and hyperactivity disorder (ADHD) is a topic of growing interest among clinicians and researchers. The present study aims at investigating components of emotional dysregulation in adults ADHD compared to subjects suffering from bipolar disorder (BD). METHODS A total of 150 adults ADHD, 335 adults BD subjects and 48 controls...

In this preliminary report we investigate the effects of emotion on the lower lip movements during the production of a monosyllabic word in two different prosodic contexts: phrase initial and phrase final. The purpose is to examine the rigidity of the phrase boundary effects under emotional perturbation of the normal, or neutral, speech production. It is found that the effect of emotion is ubiq...