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

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

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

23 Citations (Scopus)
  • 23 Citations
  • 4 Conference contribution
  • 1 Article
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  • 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)
  • 2017

    Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks

    Grais, E. M., Roma, G., Simpson, A. JR. & Plumbley, M. D., 15 Feb 2017, Latent Variable Analysis and Signal Separation. Tichavský, P., Babaie-Zadeh, M., Michel, O. J. J. & Thirion-Moreau, N. (eds.). Springer, Cham, p. 236-246 11 p. (Lecture Notes in Computer Science; vol. 10169).

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

    Open Access
    8 Citations (Scopus)
  • 2016

    Single-Channel Audio Source Separation Using Deep Neural Network Ensembles

    Grais, E. M., Roma, G., Simpson, A. JR. & Plumbley, M. D., 26 May 2016, Audio Engineering Society Convention 140. Audio Engineering Society, 9494

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

    Open Access
    24 Citations (Scopus)
  • 2015

    Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network

    Simpson, A. JR., Roma, G. & Plumbley, M. D., 15 Aug 2015, Latent Variable Analysis and Signal Separation. Vincent, E., Yeredor, A., Koldovský, Z. & Tichavský, P. (eds.). Springer, Cham, p. 429-436 8 p. (Lecture Notes in Computer Science; vol. 9237).

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

    71 Citations (Scopus)