Human-robot emotional interaction has developed rapidly in recent years, in which speech
emotion recognition plays a significant role. In this paper, a speech emotion recognition …

In order to obtain a Biogeography-Based Optimization (BBO) algorithm with strong universal
applicability, this paper presents a novel hybrid algorithm based on BBO and Grey Wolf …

Human emotion analysis is one of the challenging tasks in today's scenario. The success
rate of human emotion recognition has high implication in practical applications such as …

Nowadays, recognition of emotion from the speech signal is the wide spreading research
topic since the speech signal is the quickest and natural approach to communicate with …

Emotions demonstrate people's reactions to certain stimuli. Facial expression analysis is
often used to identify the emotion expressed. Machine learning algorithms combined with …

Speech contains rich yet entangled information ranging from phonetic to emotional
components. These different components are always mixed together hindering certain tasks …

Speech has been a widely used modality in the field of affective computing. Recently
however, there has been a growing interest in the use of multi-modal affective computing …

Emotions are people's reactions to certain stimuli. Most common way to detect an emotion is
by facial expression analysis. Machine learning algorithms combined with other artificial …

Shodhganga@INFLIBNET: Artificial Neural Network Based Emotion Detection System with
Multimodal Fusion of Speech Parameters for Indian Language Skip navigation DSpace logo …