Plumbley, Mark D

10 publications

ICLR 2026 Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models Haolin He, Xingjian Du, Renhe Sun, Zheqi Dai, Yujia Xiao, Mingru Yang, Jiayi Zhou, Xiquan Li, Zhengxi Liu, Zining Liang, Chunyat Wu, Qianhua He, Tan Lee, Xie Chen, Wei-Long Zheng, Weiqiang Wang, Mark D Plumbley, Jian Liu, Qiuqiang Kong

NeurIPSW 2024 AudioSetCaps: Enriched Audio Captioning Dataset Generation Using Large Audio Language Models Jisheng Bai, Haohe Liu, Mou Wang, Dongyuan Shi, Wenwu Wang, Mark D Plumbley, Woon-Seng Gan, Jianfeng Chen

NeurIPSW 2024 Latent Diffusion Model for Audio: Generation, Quality Enhancement, and Neural Audio Codec Haohe Liu, Wenwu Wang, Mark D Plumbley

AAAI 2024 Learning Temporal Resolution in Spectrogram for Audio Classification Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

NeurIPSW 2024 Sound-VECaps: Improving Audio Generation with Visual Enhanced Captions Yi Yuan, Dongya Jia, Xiaobin Zhuang, Yuanzhe Chen, Zhengxi Liu, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xubo Liu, Xiyuan Kang, Mark D Plumbley, Wenwu Wang

ICLRW 2024 WavCraft: Audio Editing and Generation with Large Language Models Jinhua Liang, Huan Zhang, Haohe Liu, Yin Cao, Qiuqiang Kong, Xubo Liu, Wenwu Wang, Mark D Plumbley, Huy Phan, Emmanouil Benetos

ICML 2023 AudioLDM: Text-to-Audio Generation with Latent Diffusion Models Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, Mark D Plumbley

IJCAI 2019 Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley

JMLR 2013 Segregating Event Streams and Noise with a Markov Renewal Process Model Dan Stowell, Mark D. Plumbley

NeCo 2004 Blind Separation of Positive Sources by Globally Convergent Gradient Search Erkki Oja, Mark D. Plumbley