Single-Channel Audio Source Separation Using Deep Neural Network Ensembles

Emad M Grais, Gerard Roma, Andrew JR Simpson, Mark D Plumbley

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

24 Citations (Scopus)
  • 24 Citations
  • 2 Conference contribution

Search results

  • 2018

    Improving single-network single-channel separation of musical audio with convolutional layers

    Roma, G., Green, O. & Tremblay, P. A., 6 Jun 2018, Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings. Gannot, S., Deville, Y., Mason, R., Plumbley, M. D. & Ward, D. (eds.). Springer Verlag, p. 306-315 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10891 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    File
    6 Citations (Scopus)
  • 2016

    Combining mask estimates for single channel audio source separation using deep neural networks

    Grais, E. M., Roma, G., Simpson, A. JR. & Plumbley, M. D., Sep 2016, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. p. 3339-3343 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    22 Citations (Scopus)