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

Research output

Research output per year 2015 2015 2016 2017 2018 2018

• 23 Citations
• 4 Conference contribution
• 1 Article

Research output per year

Research output per year

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

  • Audio 100%
  • Single-channel Separation 100%
  • Convolutional Layer 100%
  • Single Network 100%
  • Convolutional Neural Network Architecture 100%

  6   Link opens in a new tab Citations (Scopus)

• 2017

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

  Grais, E. M., Roma, G., Simpson, A. J. & 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

  • Single Channel 100%
  • Deep Neural Network 100%
  • Audio Source Separation 100%
  • Multichannel Audio Source Separation 100%
  • Residual Signal 28%

  8   Link opens in a new tab Citations (Scopus)

• Two-stage single-channel audio source separation using deep neural networks

  Grais, E. M., Roma, G., Simpson, A. J. & Plumbley, M. D., 1 Sept 2017, In: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25, 9, p. 1773-1783 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Single Channel 100%
  • Deep Neural Network 100%
  • Audio Source Separation 100%
  • Multichannel Audio Source Separation 100%
  • Neural Network 100%

  46   Link opens in a new tab Citations (Scopus)

• 2016

  Single-Channel Audio Source Separation Using Deep Neural Network Ensembles

  Grais, E. M., Roma, G., Simpson, A. J. & 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

  • Deep Neural Network 100%
  • Multichannel Audio Source Separation 100%
  • Neural Network Ensemble 100%
  • Single Channel 100%
  • Audio Source Separation 100%

  24   Link opens in a new tab Citations (Scopus)

• 2015

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

  Simpson, A. J., 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

  • Vocal 100%
  • Deep Neural Network 100%
  • Vocal Sounds 100%
  • Karaoke 100%
  • Convolutional Deep Neural Network 100%

  72   Link opens in a new tab Citations (Scopus)