Plumbley, Mark D

9 publications

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