Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt

no code implementations • 18 Mar 2024 • Yongqi Wang, Ruofan Hu, Rongjie Huang, Zhiqing Hong, RuiQi Li, Wenrui Liu, Fuming You, Tao Jin, Zhou Zhao

Recent singing-voice-synthesis (SVS) methods have achieved remarkable audio quality and naturalness, yet they lack the capability to control the style attributes of the synthesized singing explicitly.

Attribute Singing Voice Synthesis

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

no code implementations • 12 Feb 2024 • Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, YuanJun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou

By revealing the limitations of existing LALMs through evaluation results, AIR-Bench can provide insights into the direction of future research.

2k Automatic Speech Recognition +4

DesignGPT: Multi-Agent Collaboration in Design

no code implementations • 20 Nov 2023 • Shiying Ding, Xinyi Chen, Yan Fang, Wenrui Liu, Yiwu Qiu, Chunlei Chai

Generative AI faces many challenges when entering the product design workflow, such as interface usability and interaction patterns.

Diversity-Measurable Anomaly Detection

1 code implementation • CVPR 2023 • Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen

In this paper, to better handle the tradeoff problem, we propose Diversity-Measurable Anomaly Detection (DMAD) framework to enhance reconstruction diversity while avoid the undesired generalization on anomalies.

Anomaly Detection In Surveillance Videos Defect Detection +1