Aiming to improve the performance of human speech emotion recognition (SER), the
existing work has made great progress based on the popular mel-scale frequency cepstral …

In intelligent human-computer interaction systems, speech emotion recognition (SER) is a
fundamental task for understanding user intention. One vital challenge for emotion inferring …

Speech emotion recognition (SER) is challenging owing to the complexity of emotional
representation. Hence, this article focuses on multimodal speech emotion recognition that …

Speech is a crucial aspect of human-to-human interactions and plays a fundamental role in
the advancement of human–computer interaction (HCI) systems. Developing an accurate …

Deep-learning based methods that aim to extract effective high-level features have steadily
improved the performance on the speech emotion recognition. However, low-level features …

Speech emotion recognition (SER) is pivotal for enhancing human-machine interactions.
This paper introduces" EmoHRNet", a novel adaptation of High-Resolution Networks …

Depression is one of the most common mental diseases nowadays, which seriously affects
the health of individuals. Some researchers have shown an association between the level of …

This letter presents a time-frequency estimation approach based on memory-dependent
derivative to obtain accurate spectrograph interpolation information. The memory correlation …

Speech Emotion Recognition (SER) aims to enable machines to comprehend the subjective
emotions of individuals by analyzing their vocal expressions. The challenge of SER lies in …