activity
20202026
most citedPredict-and-Update Network: Audio-Visual Speech Recognition Inspired by Human Speech Perception

6 citations · 16 across the 16 of their papers we have counts for

collaborators
Showing cs.SDShow all

6 papers · 1 filter

cs.SD2026

EmoSURA: Towards Accurate Evaluation of Detailed and Long-Context Emotional Speech Captions

Xin Jing, Andreas Triantafyllopoulos, Jiadong Wang +3

Recent advancements in speech captioning models have enabled the generation of rich, fine-grained captions for emotional speech. However, the evaluation of such captions remains a…

cs.SD2026

SmoothCLAP: Soft-Target Enhanced Contrastive Language\--Audio Pretraining for Affective Computing

Xin Jing, Jiadong Wang, Andreas Triantafyllopoulos +4

The ambiguity of human emotions poses several challenges for machine learning models, as they often overlap and lack clear delineating boundaries. Contrastive language-audio pretra…

cs.SD2025

AV-SSAN: Audio-Visual Selective DoA Estimation through Explicit Multi-Band Semantic-Spatial Alignment

Yu Chen, Hongxu Zhu, Jiadong Wang +2

Audio-visual sound source localization (AV-SSL) estimates the position of sound sources by fusing auditory and visual cues. Current AV-SSL methodologies typically require spatially…

cs.SD2025

AV-TSE: Context and Confidence-aware Audio Visual Target Speaker Extraction

Wenxuan Wu, Xueyuan Chen, Shuai Wang +5

Audio-Visual Target Speaker Extraction (AV-TSE) aims to mimic the human ability to enhance auditory perception using visual cues. Although numerous models have been proposed recent…

cs.SD2024

Analytic Class Incremental Learning for Sound Source Localization with Privacy Protection

Xinyuan Qian, Xianghu Yue, Jiadong Wang +2

Sound Source Localization (SSL) enabling technology for applications such as surveillance and robotics. While traditional Signal Processing (SP)-based SSL methods provide analytic…

cs.SD2021★ 3 cited

Multi-target DoA Estimation with an Audio-visual Fusion Mechanism

Xinyuan Qian, Maulik Madhavi, Zexu Pan +2

Most of the prior studies in the spatial \ac{DoA} domain focus on a single modality. However, humans use auditory and visual senses to detect the presence of sound sources. With th…