2019

  1. E. M. Grais, H. Wierstorf, D. Ward, R. D. Mason, and M. D. Plumbley, “Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks,” in 27th European Signal Processing Conference (EUSIPCO), A Coruña, Spain, 2019. {Details}

2018

  1. C. Kim, E. M. Grais, R. D. Mason, and M. D. Plumbley, “Perception of Phase Changes in the Context of Musical Audio Source Separation,” in Audio Engineering Society Convention 145, New York, 2018. {Details}
  2. D. Ward, R. D. Mason, C. Kim, F. R. Stöter, A. Liutkus, and M. D. Plumbley, “SiSEC 2018: State of The Art in Musical Audio Source Separation - Subjective Selection of The Best Algorithm,” in WIMP: Workshop on Intelligent Music Production, Huddersfield, United Kingdom, 2018. {Details}
  3. E. M. Grais, D. Ward, and M. D. Plumbley, “Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders,” in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, Italy, 2018, pp. 1577–1581. {Details}
  4. E. M. Grais and M. D. Plumbley, “Combining Fully Convolutional and Recurrent Neural Networks for Single Channel Audio Source Separation,” in Audio Engineering Society Convention 144, Milan, Italy, 2018. {Details}
  5. D. Ward, H. Wierstorf, R. D. Mason, E. M. Grais, and M. D. Plumbley, “BSS EVAL or PEASS? Predicting the Perception of Singing-Voice Separation,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018. {Details}
  6. E. M. Grais, H. Wierstorf, and M. D. Ward D. Plumbley, “Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation,” in Latent Variable Analysis and Signal Separation: 13th International Conference, LVA/ICA 2018, Guidford, UK, July 2-6, 2018, Proceedings, Y. Deville, S. Gannot, R. D. Mason, M. D. Plumbley, and D. Ward, Eds. Cham: Springer International Publishing, 2018, pp. 340–350. {Details}

2017

  1. E. M. Grais and M. D. Plumbley, “Single Channel Audio Source Separation using Convolutional Denoising Autoencoders,” in Proceedings of the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP2017), Montreal, Canada, 2017. {Details}
  2. H. Wierstorf, D. Ward, E. M. Grais, M. D. Plumbley, R. D. Mason, and C. Hummersone, “Perceptual Evaluation of Source Separation for Remixing Music,” in 143rd Convention of the Audio Engineering Society, New York, NY, 2017, pp. Paper 9880. {Details}
  3. E. M. Grais, H. Wierstorf, D. Ward, and M. D. Plumbley, “Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation,” ArXiv e-prints, Oct. 2017. {Details}
  4. E. M. Grais, G. Roma, A. J. R. Simpson, and M. D. Plumbley, “Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 9, pp. 1773–1783, Sep. 2017. {Details}
  5. D. Ward, H. Wierstorf, R. D. Mason, M. D. Plumbley, and C. Hummersone, “Estimating the Loudness Balance of Musical Mixtures using Audio Source Separation,” in 3rd Workshop on Intelligent Music Production, Salford, UK, 2017. {Details}
  6. E. M. Grais, G. Roma, A. J. R. Simpson, and M. D. Plumbley, “Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks,” in Latent Variable Analysis and Signal Separation: 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings, P. Tichavský, M. Babaie-Zadeh, O. J. J. Michel, and N. Thirion-Moreau, Eds. Cham: Springer International Publishing, 2017, pp. 236–246. {Details}
  7. A. J. R. Simpson, G. Roma, E. M. Grais, R. D. Mason, C. Hummersone, and M. D. Plumbley, “Psychophysical Evaluation of Audio Source Separation Methods,” in Latent Variable Analysis and Signal Separation: 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings, P. Tichavský, M. Babaie-Zadeh, O. J. J. Michel, and N. Thirion-Moreau, Eds. Cham: Springer International Publishing, 2017, pp. 211–221. {Details}

2016

  1. G. Roma, E. Grais, A. J. R. Simpson, I. Sobieraj, and M. D. Plumbley, “Untwist: A New Toolbox for Audio Source Separation,” in Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016. {Details}
  2. G. Roma, E. Grais, A. J. R. Simpson, and M. D. Plumbley, “Singing Voice Separation using Deep Neural Networks and f0 Estimation,” in MIREX 2016, 2016. {Details}
  3. E. M. Grais, G. Roma, A. J. R. Simpson, and M. D. Plumbley, “Single-Channel Audio Source Separation Using Deep Neural Network Ensembles,” in Audio Engineering Society Convention 140, Paris, France, 2016. {Details}
  4. G. Roma, A. J. R. Simpson, E. M. Grais, and M. Plumbley, “Remixing Musical Audio on the Web using Source Separation,” in Proceedings of the 2nd Web Audio Conference (WAC), Atlanta, Georgia, 2016. {Details}
  5. E. M. Grais, G. Roma, A. J. R. Simpson, and M. D. Plumbley, “Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks,” in Interspeech 2016, San Francisco, California, 2016, pp. 3339–3343. {Details}
  6. G. Roma, E. M. Grais, A. J. R. Simpson, and M. D. Plumbley, “Music Remixing and Upmixing using Source Separation,” in Proceedings of the 2nd Audio Engineering Society Workshop on Intelligent Music Production, London, UK, 2016. {Details}
  7. A. J. R. Simpson et al., “Evaluation of Audio Source Separation Models using Hypothesis-Driven Non-Parametric Statistical Methods,” in 24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, August 29 - September 2, 2016, 2016, pp. 1763–1767. {Details}

2015

  1. A. J. R. Simpson, G. Roma, and M. D. Plumbley, “Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network,” in Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings, E. Vincent, A. Yeredor, Z. Koldovský, and P. Tichavský, Eds. Cham: Springer International Publishing, 2015, pp. 429–436. {Details}