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...

setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. in this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. so the pitch frequency and the first three formant frequencies were used. the experimental results showed that there are lo...

objective: no research has been conducted on facial emotional recognition on patients with borderline personality disorder (bpd) and schizotypal personality disorder (spd). the present study aimed at comparing facial emotion recognition in these patients with the general population. the neurocognitive processing of emotions can show the pathologic style of these 2 disorders.   method:   twenty ...

objective: depression is a growing public health problem, which needs more consideration in primary care settings. by focusing primarily on developmental psychology, attachment style is one of the most influential variables on the risk of internalized disorders. although attachment styles have strong effects on emotional aspect of human mental life, emotional turbulence and dysfunction are cons...

Setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. In this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. So the pitch frequency and the first three formant frequencies were used. The experimental results showed that there are lo...

speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...

Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This capitalizing on fact that voice often reflects underlying through tone pitch. also phenomenon animals like dogs horses employ be able understand emotion. SER tough because emotions are subjective annotating audio challenging.The main objective this recognizi...