15 citations · 19 across the 4 of their papers we have counts for
4 papers
Leveraging Label Information for Multimodal Emotion Recognition
Peiying Wang, Sunlu Zeng, Junqing Chen +4
Multimodal emotion recognition (MER) aims to detect the emotional status of a given expression by combining the speech and text information. Intuitively, label information should b…
Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue
Jiudong Yang, Peiying Wang, Yi Zhu +3
Turn-taking, aiming to decide when the next speaker can start talking, is an essential component in building human-robot spoken dialogue systems. Previous studies indicate that mul…
Contextual Temperature for Language Modeling
Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang +4
Temperature scaling has been widely used as an effective approach to control the smoothness of a distribution, which helps the model performance in various tasks. Current practices…
Complement Objective Training
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu +5
Learning with a primary objective, such as softmax cross entropy for classification and sequence generation, has been the norm for training deep neural networks for years. Although…