most citedJointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2023

Striving for Authentic and Sustained Technology Use In the Classroom: Lessons Learned from a Longitudinal Evaluation of a Sensor-based Science Education Platform

Yvonne Chua, Sankha Cooray, Juan Pablo Forero Cortes +19

Technology integration in educational settings has led to the development of novel sensor-based tools that enable students to measure and interact with their environment. Although…

eess.AS2020★ 2 cited

Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

Shamane Siriwardhana, Andrew Reis, Rivindu Weerasekera +1

Multimodal emotion recognition from speech is an important area in affective computing. Fusing multiple data modalities and learning representations with limited amounts of labeled…