132 citations · 189 across the 21 of their papers we have counts for
11 papers · 1 filter
Multimodal Target Speaker Extraction: Towards Unified Speaker Cues Across Modalities
Xinyuan Qian, Yanghao Zhou, Ziyang Jiang +10
Target Speaker Extraction (TSE) is pivotal in speech communication and human-computer interaction, enabling the isolation of a specific speaker's voice from complex acoustic enviro…
SelectTSL: Prompt-Guided Selective Target Sound Localization in Complex Scenarios
Ziyang Jiang, Yu Chen, Zexu Pan +5
Humans can selectively attend to a target sound and estimate its direction in complex scenarios, whereas such selective localization remains challenging for current deep learning-b…
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…
Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation
Wupeng Wang, Zexu Pan, Xinke Li +2
Speech separation (SS) seeks to disentangle a multi-talker speech mixture into single-talker speech streams. Although SS can be generally achieved using offline methods, such a pro…
Context-Aware Two-Step Training Scheme for Domain Invariant Speech Separation
Wupeng Wang, Zexu Pan, Jingru Lin +2
Speech separation seeks to isolate individual speech signals from a multi-talk speech mixture. Despite much progress, a system well-trained on synthetic data often experiences perf…
Speech Separation with Pretrained Frontend to Minimize Domain Mismatch
Wupeng Wang, Zexu Pan, Xinke Li +2
Speech separation seeks to separate individual speech signals from a speech mixture. Typically, most separation models are trained on synthetic data due to the unavailability of ta…
pTSE-T: Presentation Target Speaker Extraction using Unaligned Text Cues
Ziyang Jiang, Jiahe Lei, Xueyan Chen +4
Target Speaker Extraction (TSE) aims to extract the clean speech of the target speaker in an audio mixture, eliminating irrelevant background noise and speech. While prior work has…
LocSelect: Target Speaker Localization with an Auditory Selective Hearing Mechanism
Yu Chen, Xinyuan Qian, Zexu Pan +2
The prevailing noise-resistant and reverberation-resistant localization algorithms primarily emphasize separating and providing directional output for each speaker in multi-speaker…
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…
Rethinking the visual cues in audio-visual speaker extraction
Junjie Li, Meng Ge, Zexu pan +4
The Audio-Visual Speaker Extraction (AVSE) algorithm employs parallel video recording to leverage two visual cues, namely speaker identity and synchronization, to enhance performan…
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…