3 papers
cs.MM2026
CueNet: Robust Audio-Visual Speaker Extraction through Cross-Modal Cue Mining and Interaction
Jiadong Wang, Ke Zhang, Xinyuan Qian +3
Audio-visual speaker extraction has attracted increasing attention, as it removes the need for pre-registered speech and leverages the visual modality as a complement to audio. Alt…
cs.SD2026
Quantifying Dimensional Independence in Speech: An Information-Theoretic Framework for Disentangled Representation Learning
Bipasha Kashyap, Björn W. Schuller, Pubudu N. Pathirana
Speech signals encode emotional, linguistic, and pathological information within a shared acoustic channel; however, disentanglement is typically assessed indirectly through downst…
eess.AS2026
AffectSpeech: A Large-Scale Emotional Speech Dataset with Fine-Grained Textual Descriptions for Speech Emotion Captioning and Synthesis
Tianhua Qi, Wenming Zheng, Björn W. Schuller +3
Emotion is essential in spoken communication, yet most existing frameworks in speech emotion modeling rely on predefined categories or low-dimensional continuous attributes, which…