Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …

Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

In the last few years, the multi-modal emotion recognition has become an important research
issue in the affective computing community due to its wide range of applications that include …

Over the past few years, adversarial training has become an extremely active research topic
and has been successfully applied to various Artificial Intelligence (AI) domains. As a …

Regularization approaches, such as multi-task learning and dropout, prevent overfitting and
improve generalization ability. Speech emotion recognition suffers from insufficiently …

Humans' fundamental need is interaction with each other such as using conversation or
speech. Therefore, it is crucial to analyze speech using computer technology to determine …

情感识别是实现自然人机交互的必要过程. 然而, 情感数据高昂的采集和标注成本成为了限制
情感识别研究发展的一大瓶颈. 在无标注或有限标注的场景下, 利用知识的跨领域或跨任务迁移 …

Virtual assistants smart interaction dialogue with human being there paralinguistic,
emotional speech played very important role. In this paper a comprehensive view is …

Research on affective computing has achieved remarkable success with the development of
deep learning. One of the major difficulties in emotion recognition is inconsistent criteria for …

Human speech consists of both Verbal and Nonverbal sounds. Nonverbal sounds such as
paralinguistics and expressive voices, along with emotional speech, play an important role …