This paper presents a novel speech emotion recognition (SER) method to capture the
uncertainty in predicting emotional attributes using the true distribution of scores provided by …

Movement synchrony refers to the dynamic temporal connection between the motions of
interacting people. The automatic measurement of movement synchrony is worth studying …

In order to study how early emotional experiences shape infant development, one approach
is to analyze the emotional content of speech heard by infants, as captured by child …

Effective emotion inference from user queries helps to give a more personified response for
Voice Dialogue Applications (VDAs). The tremendous amounts of VDA users bring in …

The robustness of an acoustic emotion recognition system hinges on first having access to
features that represent an acoustic input signal. These representations should abstract …

Due to the lack of sufficient speech emotional data, the recognition performance of existing
speech emotion recognition (SER) approaches is relatively low and requires further …

Speech emotion recognition~(SER) refers to the technique of inferring the emotional state of
an individual from speech signals. SERs continue to garner interest due to their wide …

In this paper, we do research on cross‐corpus speech emotion recognition (SER), in which
the training and testing speech signals come from different speech corpus. The mismatched …

Misinformation spreads rapidly on social media, confusing the truth and targetting potentially
vulnerable people. To effectively mitigate the negative impact of misinformation, it must first …

Researchers have recently started to study how the emotional speech heard by young
infants can affect their developmental outcomes. As a part of this research, hundreds of …