Jinghua Zhao — accepted AI-conference papers

2025

AudioEditor: A Training-Free Diffusion-Based Audio Editing Framework

Yuhang Jia, Yang Chen, Jinghua Zhao, Shiwan Zhao, Wenjia Zeng, Yong Chen +1

ICASSP 2025accepted

Diffusion-based text-to-audio (TTA) generation has made substantial progress, leveraging latent diffusion model (LDM) to produce high-quality, diverse and instruction-relevant audios. However, beyond generation, the task of audio editing remains equally important but has received comparatively littl…

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2025

MusicEval: A Generative Music Dataset with Expert Ratings for Automatic Text-to-Music Evaluation

Cheng Liu, Hui Wang, Jinghua Zhao, Shiwan Zhao, Hui Bu, Xin Xu +3

ICASSP 2025accepted

The technology for generating music from textual descriptions has seen rapid advancements. However, evaluating text-to-music (TTM) systems remains a significant challenge, primarily due to the difficulty of balancing performance and cost with existing objective and subjective evaluation methods. In…

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