3 papers
cs.HC2025
Pioneering Multimodal Emotion Recognition in the Era of Large Models: From Closed Sets to Open Vocabularies
Jing Han, Zhiqiang Gao, Shihao Gao +4
Recent advances in multimodal large language models (MLLMs) have demonstrated remarkable multi- and cross-modal integration capabilities. However, their potential for fine-grained…
cs.LG2025
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition
Thejan Rajapakshe, Rajib Rana, Farina Riaz +2
Quantum machine learning (QML) offers a promising avenue for advancing representation learning in complex signal domains. In this study, we investigate the use of parameterised qua…
cs.SD2024
Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)
Kazi Nazmul Haque, Rajib Rana, Tasnim Jarin +1
This study explores the field of audio classification from raw waveform using Convolutional Neural Networks (CNNs), a method that eliminates the need for extracting specialised fea…