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Research at St Andrews

Bioacoustics group

  1. Forthcoming

    Learning deep models from synthetic data for extracting dolphin whistle contours

    Li, P., Liu, X., Palmer, K., Fleishman, E., Gillespie, D. M., Nosal, E-M., Shiu, Y., Klinck, H., Cholewiak, D., Helble, T. & Roch, M., 20 Mar 2020, (Accepted/In press) International Joint Conference on Neural Networks (IJCNN). IEEE Computer Society, 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Published

    Adapting a computational multi agent model for humpback whale song research for use as a tool for algorithmic composition

    Mcloughlin, M., Ingram, S., Rendell, L. E., Lamoni, L. U., Kirke, A., Garland, E. C., Noad, M. & Miranda, E., 31 Aug 2016, Proceedings SMC 2016. Großmann, R. & Hajdu, G. (eds.). Hochschule für Musik und Theater Hamburg, p. 274-280 (Proceedings of the SMC Conferences).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 84585522

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