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20232026
most citedEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration

15 citations · 37 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.SD2025

T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback

Zehan Wang, Ke Lei, Chen Zhu +8

Text-to-audio (T2A) generation has achieved remarkable progress in generating a variety of audio outputs from language prompts. However, current state-of-the-art T2A models still s…

cs.SD2025

Unleashing the Power of Natural Audio Featuring Multiple Sound Sources

Xize Cheng, Slytherin Wang, Zehan Wang +3

Universal sound separation aims to extract clean audio tracks corresponding to distinct events from mixed audio, which is critical for artificial auditory perception. However, curr…

cs.SD2024

OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup

Xize Cheng, Siqi Zheng, Zehan Wang +8

The scaling up has brought tremendous success in the fields of vision and language in recent years. When it comes to audio, however, researchers encounter a major challenge in scal…

cs.SD2024

Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching

Yongqi Wang, Wenxiang Guo, Rongjie Huang +5

Video-to-audio (V2A) generation aims to synthesize content-matching audio from silent video, and it remains challenging to build V2A models with high generation quality, efficiency…

cs.SD2023

TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation

Xize Cheng, Rongjie Huang, Linjun Li +7

Direct speech-to-speech translation achieves high-quality results through the introduction of discrete units obtained from self-supervised learning. This approach circumvents delay…