Multi-modal conversation emotion recognition (MCER) aims to recognize and track the
speaker's emotional state using text, speech, and visual information in the conversation …

Sarcasm, a subtle and complex form of expression, presents significant challenges in
detection, especially in the context of social media and meta universe applications where …

In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research
has been devoted to harnessing this transformative technology in various real-world …

In this paper, we demonstrate that attacks in the latest ASVspoof5 dataset--a de facto
standard in the field of voice authenticity and deepfake detection--can be identified with …

Air traffic controllers (ATC) play a critical role in ensuring aviation safety, but their demanding
workload can lead to fatigue, potentially compromising their performance. This paper …

The advancement of deep learning technology in speech generation has made fake speech
almost perceptually indistinguishable from real speech. Most of the attempts in literature are …

Due to the progress in deep learning technology, techniques that generate spoofed speech
have significantly emerged. Such synthetic speech can be exploited for harmful purposes …

The extraction of multimodal emotional information enables a more nuanced representation
of the emotional subtleties embedded in film and television works. However, conventional …

Developing high-quality artificial intelligence based driver assistance systems is an active
research area. One critical challenge is developing efficient methods to detect a driver …

Domain variability refers to a condition where the train and test speech data are from
different environments. This seems to be challenging to deal with in fake speech detection …