From the 2 of 9 linked papers with an AI index.
9 papers
WeSep: A Modular and Cue-Composable Framework for Target Speaker Extraction
Ke Zhang, Xiaoyang Yu, Haoyu Li +3
WeSep is a modular framework that treats target speaker extraction as a cue‑conditioned learning problem, separating cue modules from the separator backbone to flexibly incorporate…
SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings
Shuai Wang, Zihan Qian, Ke Zhang +9
The paper presents the REAL‑TSE Challenge, a benchmark for extracting a target speaker’s voice from real conversational recordings in Mandarin and English, with both online low‑lat…
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…
ELEGANCE: Efficient LLM Guidance for Audio-Visual Target Speech Extraction
Wenxuan Wu, Shuai Wang, Xixin Wu +2
Audio-visual target speaker extraction (AV-TSE) models primarily rely on visual cues from the target speaker. However, humans also leverage linguistic knowledge, such as syntactic…
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…
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…