People

PhD students

  • Shubhr Singh, Audio applications of novel mathematical methods in deep learning
    QMUL, 2020-present (jointly with Emmanouil Benetos and Dan Stowell)
  • Marco Comunità, Machine learning applied to sound synthesis models
    QMUL, 2020-present (jointly with Joshua Reiss)
  • Christian Steinmetz, End-to-end generative modeling of multitrack mixing with non-parallel data and adversarial networks
    QMUL, 2020-present (jointly with Joshua Reiss)
  • Jiachen Luo, Voice and language analysis for personality disorder detection
    QMUL, 2020-present (jointly with Joshua Reiss)
  • Inês de Almeida Nolasco, Automatic acoustic identification of individual animals in the wild
    QMUL, 2020-present (jointly with Emmanouil Benetos and Dan Stowell)
  • Iacopo Ginassi, Semantic understanding of TV programme content and structure to enable automatic enhancement and adjustment
    QMUL, 2020-present (jointly with Matthew Purver)
  • Harnick Khera, Informed source separation for multi-mic production
    QMUL, 2020-present (jointly with Mark Sandler)
  • Nhan Nguyen, Detecting attended auditory events using ear-EEG: a new approach to auditory attention decoding
    Aarhus University, 2021-present (jointly with Preben Kidmose and Kaare Mikkelsen)

MSc students

  • Daniel Starr, Personalized AI for improving quality of sleep
    QMUL, 2021 (in progress)
  • Minh-Hai Nguyen, Early seizure detection
    QMUL, 2021 (in progress)
  • Marsela Gavrilova, Voice analysis for personality disorder detection
    QMUL, 2021 (in progress)
  • Peiheng Yang, Small-footprint deep learning for audio event detection
    QMUL, 2021 (in progress)
  • Thomas Mason, Deep learning for sleep micro-event detection
    QMUL, 2021 (in progress)
  • Momen Al Msalma, Methods for acoustic cough counting
    University of Lübeck, 2017 (in German)

Collaborators