1 citations · 1 across the 8 of their papers we have counts for
12 papers
Towards Expressive and Faithful Audio-to-Image Generation: A Unified Multimodal Dataset and Synthesis Framework
Dongxu Ge, Shansong Liu, Cheng Gong +3
As an important subfield of cross-modal generation, synthesizing static visual content in the form of images from audio, namely audio-to-image (A2I) generation, has attracted incre…
High-Fidelity Generative Audio Compression at 0.275kbps
Hao Ma, Ruihao Jing, Shansong Liu +4
High-fidelity general audio compression at ultra-low bitrates is crucial for applications ranging from low-bandwidth communication to generative audio-language modeling. Traditiona…
Rare Word Recognition and Translation Without Fine-Tuning via Task Vector in Speech Models
Ruihao Jing, Cheng Gong, Yu Jiang +5
Rare words remain a critical bottleneck for speech-to-text systems. While direct fine-tuning improves recognition of target words, it often incurs high cost, catastrophic forgettin…
Towards Multimodal Query-Based Spatial Audio Source Extraction
Chenxin Yu, Hao Ma, Xu Li +4
Query-based audio source extraction seeks to recover a target source from a mixture conditioned on a query. Existing approaches are largely confined to single-channel audio, leavin…
FoleySpace: Vision-Aligned Binaural Spatial Audio Generation
Lei Zhao, Rujin Chen, Chi Zhang +2
Recently, with the advancement of AIGC, deep learning-based video-to-audio (V2A) technology has garnered significant attention. However, existing research mostly focuses on mono au…
HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics
Shufan Jiang, Sizhou Chen, Chios Chen +3
Creating an immersive and interactive theatrical experience is a long-term goal in the field of interactive narrative. The emergence of large language models (LLMs) provides a new…