12 papers
DreamAudio: Customized Text-to-Audio Generation with Diffusion Models
Yi Yuan, Xubo Liu, Haohe Liu +5
With the development of large-scale diffusion-based and language-modeling-based generative models, impressive progress has been achieved in text-to-audio generation. Despite produc…
AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion
Junqi Zhao, Jinzheng Zhao, Haohe Liu +5
Diffusion models have significantly improved the quality and diversity of audio generation but are hindered by slow inference speed. Rectified flow enhances inference speed by lear…
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture
Meng Cui, Xianghu Yue, Xinyuan Qian +5
Fish Feeding Intensity Assessment (FFIA) is crucial in industrial aquaculture management. Recent multi-modal approaches have shown promise in improving FFIA robustness and efficien…
Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey
Meng Cui, Xubo Liu, Haohe Liu +3
Digital aquaculture leverages advanced technologies and data-driven methods, providing substantial benefits over traditional aquaculture practices. This paper presents a comprehens…
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
Jinhua Liang, Xubo Liu, Wenwu Wang +3
The auditory system plays a substantial role in shaping the overall human perceptual experience. While prevailing large language models (LLMs) and visual language models (VLMs) hav…
FlowSep: Language-Queried Sound Separation with Rectified Flow Matching
Yi Yuan, Xubo Liu, Haohe Liu +2
Language-queried audio source separation (LASS) focuses on separating sounds using textual descriptions of the desired sources. Current methods mainly use discriminative approaches…