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20232026
most citedThe Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

FreeSonic: Training-Free Temporal-Aware Decoupled Attention for Precise Audio Editing

Yuxuan Jiang, Mingyang Han, Yusheng Dai +12

Text-to-audio (TTA) generation has made significant strides, yet achieving precise and consistent audio editing remains a major challenge. However, existing methods struggle to bal…

cs.SD2025

Latent Swap Joint Diffusion for 2D Long-Form Latent Generation

Yusheng Dai, Chenxi Wang, Chang Li +7

This paper introduces Swap Forward (SaFa), a modality-agnostic and efficient method to generate seamless and coherence long spectrum and panorama through latent swap joint diffusio…

eess.AS2024

Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment

Li Kewei, Zhou Hengshun, Shen Kai +2

User-defined keyword spotting (KWS) enhances the user experience by allowing individuals to customize keywords. However, in open-vocabulary scenarios, most existing methods commonl…

cs.SD2024

A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition

Yusheng Dai, Hang Chen, Jun Du +5

Advanced Audio-Visual Speech Recognition (AVSR) systems have been observed to be sensitive to missing video frames, performing even worse than single-modality models. While applyin…

eess.AS2023★ 1 cited

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction

Shilong Wu, Chenxi Wang, Hang Chen +13

Previous Multimodal Information based Speech Processing (MISP) challenges mainly focused on audio-visual speech recognition (AVSR) with commendable success. However, the most advan…