2 citations · 2 across the 13 of their papers we have counts for
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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…
Omni2Sound: Towards Unified Video-Text-to-Audio Generation
Yusheng Dai, Zehua Chen, Yuxuan Jiang +4
Training a unified model integrating video-to-audio (V2A), text-to-audio (T2A), and joint video-text-to-audio (VT2A) generation offers significant application flexibility, yet face…
ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling
Yuxuan Jiang, Zehua Chen, Zeqian Ju +3
Text-to-audio (TTA) generation with fine-grained control signals, e.g., precise timing control or intelligible speech content, has been explored in recent works. However, constrain…
VoiceBridge: General Speech Restoration with One-step Latent Bridge Models
Chi Zhang, Kaiwen Zheng, Zehua Chen +1
Bridge models have been investigated in speech enhancement but are mostly single-task, with constrained general speech restoration (GSR) capability. In this work, we propose VoiceB…
AudioMoG: Guiding Audio Generation with Mixture-of-Guidance
Junyou Wang, Zehua Chen, Binjie Yuan +4
The design of diffusion-based audio generation systems has been investigated from diverse perspectives, such as data space, network architecture, and conditioning techniques, while…
Audio Super-Resolution with Latent Bridge Models
Chang Li, Zehua Chen, Liyuan Wang +1
Audio super-resolution (SR), i.e., upsampling the low-resolution (LR) waveform to the high-resolution (HR) version, has recently been explored with diffusion and bridge models, whi…
FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation
Yuxuan Jiang, Zehua Chen, Zeqian Ju +3
Text-to-audio (T2A) generation has achieved promising results with the recent advances in generative models. However, because of the limited quality and quantity of temporally-alig…
Bridge-SR: Schrödinger Bridge for Efficient SR
Chang Li, Zehua Chen, Fan Bao +1
Speech super-resolution (SR), which generates a waveform at a higher sampling rate from its low-resolution version, is a long-standing critical task in speech restoration. Previous…