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cs.SD2025

MeMo: Attentional Momentum for Real-Time Audio-Visual Target Speaker Extraction Under Impaired Visual Conditions

Junjie Li, Wenxuan Wu, Shuai Wang +4

Audio-visual Target Speaker Extraction (AV-TSE) aims to isolate a target speaker's voice from multi-speaker environments by leveraging visual cues as guidance. However, the perform…

cs.SD2025

Incorporating Linguistic Constraints from External Knowledge Source for Audio-Visual Target Speech Extraction

Wenxuan Wu, Shuai Wang, Xixin Wu +2

Audio-visual target speaker extraction (AV-TSE) models primarily rely on target visual cues to isolate the target speaker's voice from others. We know that humans leverage linguist…

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.SD2025

UniSep: Universal Target Audio Separation with Language Models at Scale

Yuanyuan Wang, Hangting Chen, Dongchao Yang +7

We propose Universal target audio Separation (UniSep), addressing the separation task on arbitrary mixtures of different types of audio. Distinguished from previous studies, UniSep…

cs.SD2024

Target Speech Extraction with Pre-trained AV-HuBERT and Mask-And-Recover Strategy

Wenxuan Wu, Xueyuan Chen, Xixin Wu +2

Audio-visual target speech extraction (AV-TSE) is one of the enabling technologies in robotics and many audio-visual applications. One of the challenges of AV-TSE is how to effecti…