Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …

Abstract Knowledge production within the interdisciplinary field of human–robot interaction
(HRI) with social robots has accelerated, despite the continued fragmentation of the …

Feature selection is a crucial step in the development of a system for identifying emotions in
speech. Recently, the interaction between features generated from the same audio source …

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 …

Motivated by the development of DNN technology, a speech emotion recognition method
based on DNN-decision tree SVM model is proposed. The proposed method can not only …

Cross-lingual speech emotion recognition is an important task for practical applications. The
performance of automatic speech emotion recognition systems degrades in cross-corpus …

Accurate emotion recognition from speech is important for applications like smart health
care, smart entertainment, and other smart services. High accuracy emotion recognition from …

With the establishment of Industry 4.0, machines are now required to interact with workers.
By observing biometrics they can assess if humans are authorized, or mentally and …

Correctly recognizing speech emotions is of significant importance in various fields, such as
healthcare and human–computer interaction (HCI). However, the complexity of speech …

Automatic recognition of emotion is important for facilitating seamless interactivity between a
human being and intelligent robot towards the full realization of a smart society. The …