User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …

Emotion recognition based on facial expressions has low accuracy and doubtful reliability
because of the existence of fake expressions. In this paper, a method is proposed to …

The minimax optimization over Riemannian manifolds (possibly nonconvex constraints) has
been actively applied to solve many problems, such as robust dimensionality reduction and …

Most speech emotion recognition methods based on frames have obtained good results in
many applications. However, they segment each speech sample into smaller frames that are …

Multimodal emotion recognition in conversation (ERC) has garnered growing attention from
research communities in various fields. In this paper, we propose a Crossmodal Fusion …

Standard deep learning models have been mainly designed for balanced data mining tasks
and use accuracy to evaluate the classifier. However, in many real-world applications, the …

The intricate landscape of speech emotion classification poses a captivating yet challenging
realm due to emotions being fundamental to human communication. In recent years, deep …

Speech emotion recognition (SER) plays a pivotal role in enhancing Human-computer
interaction (HCI) systems. This paper introduces a groundbreaking Capsule-enhanced …

Recognizing emotions from speech is a daunting task due to the subtlety and ambiguity of
expressions. Traditional speech emotion recognition (SER) systems, which typically rely on …

Emotion detection classifiers traditionally predict discrete emotions. However, emotion
expressions are often subjective, thus requiring a method to handle compound and …