Dynamic facial expression recognition (DFER) is essential to the develop...
Multimodal emotion recognition is an active research topic in artificial...
Speech emotion recognition aims to identify and analyze emotional states...
Audio deepfake detection is an emerging topic in the artificial intellig...
Over the past few decades, multimodal emotion recognition has made remar...
Partial-label learning (PLL) is an important branch of weakly supervised...
Detecting out-of-distribution (OOD) data is critical to building reliabl...
Noisy partial label learning (noisy PLL) is an important branch of weakl...
Partial label learning (PLL) is a typical weakly supervised learning, wh...
Medical Relation Extraction (MRE) task aims to extract relations between...
With the proliferation of user-generated online videos, Multimodal Senti...
In this paper, we propose the solution to the Multi-Task Learning (MTL)
...
Speech emotion recognition (SER) is a crucial research topic in
human-co...
Conversations have become a critical data format on social media platfor...
Audio deepfake detection is an emerging topic, which was included in the...
We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities i...
In a typical voice conversion system, prior works utilize various acoust...
In practical applications for emotion recognition, users do not always e...
Prior works on speech emotion recognition utilize various unsupervised
l...
Different from the emotion recognition in individual utterances, we prop...
Speech emotion recognition is an important aspect of human-computer
inte...
Speech emotion recognition is an important aspect of human-computer
inte...
Automatic emotion recognition is a challenging task. In this paper, we
p...
Speech emotion recognition is an important task in human-machine interac...