activity
20232026
collaborators

11 papers

eess.AS2026

WeSep: A Modular and Cue-Composable Framework for Target Speaker Extraction

Ke Zhang, Xiaoyang Yu, Haoyu Li +3

The study of Target Speaker Extraction (TSE) aims to isolate a desired speaker from overlapping speech mixture given auxiliary cues. Existing systems are typically designed for spe…

eess.AS2026

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings

Shuai Wang, Zihan Qian, Ke Zhang +9

We introduce the REAL-TSE Challenge, an IEEE SLT 2026 satellite challenge on target speaker extraction~(TSE) from real conversational recordings. Given a multi-speaker mixture and…

cs.SD2025

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…

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.SD2024

MoMuSE: Momentum Multi-modal Target Speaker Extraction for Real-time Scenarios with Impaired Visual Cues

Junjie Li, Ke Zhang, Shuai Wang +3

Audio-visual Target Speaker Extraction (AV-TSE) aims to isolate the speech of a specific target speaker from an audio mixture using time-synchronized visual cues. In real-world sce…

eess.AS2024

Multi-Level Speaker Representation for Target Speaker Extraction

Ke Zhang, Junjie Li, Shuai Wang +4

Target speaker extraction (TSE) relies on a reference cue of the target to extract the target speech from a speech mixture. While a speaker embedding is commonly used as the refere…

eess.AS2023

The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge

Meng Ge, Yizhou Peng, Yidi Jiang +6

This paper summarizes our team's efforts in both tracks of the ICMC-ASR Challenge for in-car multi-channel automatic speech recognition. Our submitted systems for ICMC-ASR Challeng…

cs.SD2023

Audio-Visual Active Speaker Extraction for Sparsely Overlapped Multi-talker Speech

Junjie Li, Ruijie Tao, Zexu Pan +3

Target speaker extraction aims to extract the speech of a specific speaker from a multi-talker mixture as specified by an auxiliary reference. Most studies focus on the scenario wh…

cs.SD2023

USED: Universal Speaker Extraction and Diarization

Junyi Ao, Mehmet Sinan Yıldırım, Ruijie Tao +4

Speaker extraction and diarization are two enabling techniques for real-world speech applications. Speaker extraction aims to extract a target speaker's voice from a speech mixture…