Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …

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 …

Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …

This work aims at intensifying text-independent speaker identification performance in real
application situations such as noisy and emotional talking conditions. This is achieved by …

Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature
engineering plays a pivotal role in building an efficient SER. Although researchers have …

Abstract In recent years, Speech Emotion Recognition (SER) has received considerable
attention in affective computing field. In this paper, an improved system for SER is proposed …

Speech emotion recognition (SER) refers to the process of recognizing the emotional state
of the speaker from the speech utterance. In earlier studies, wide varieties of cepstral …

In recent years, studies on speech signals have increasingly paid attention to emotional
information. The most challenging aspect in speech emotion recognition (SER) is choosing …

Featured Application Emotion recognition is the computer's automatic recognition of the
emotional state of input speech. It is a hot research field, resulting from the mutual infiltration …