Plumbley, Mark D.

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

Kong, Q., Cao, Y., Iqbal, T., Wang, Y., Wang, W., & Plumbley, M. D. (2020) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 1,235

Best Practices for Scientific Computing

Wilson, G., Aruliah, D. A., Brown, C. T., Chue Hong, N. P., Davis, M., Guy, R. T., Haddock, S. H. D., Huff, K. D., Mitchell, I. M., Plumbley, M. D., et al. (2014) · PLoS Biology

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 723

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

Stowell, D., & Plumbley, M. D. (2014) · PeerJ

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 295

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

Mei, X., Meng, C., Liu, H., Kong, Q., Ko, T., Zhao, C., Plumbley, M. D., Zou, Y., & Wang, W. (2024) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Multimodal Machine Learning ApplicationsMusic and Audio Processing

Cited by 150

Evaluation of live human-computer music-making: quantitative and qualitative approaches

Stowell, D., Robertson, A., Bryan-Kinns, N., & Plumbley, M. D. (2009) · International Journal of Human-Computer Studies

Usability and User Interface DesignMusic Technology and Sound Studies

Cited by 77