Now showing items 1-2 of 2

    • Ensemble Models for Spoofing Detection in Automatic Speaker Verification 

      Chettri, B; Stoller, D; Morfi, V; Martinez Ramirez, M; Benetos, E; Sturm, B; 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019) (International Speech Communication Association (ISCA), 2019-09-15)
      Detecting spoofing attempts of automatic speaker verification (ASV) systems is challenging, especially when using only one modelling approach. For robustness, we use both deep neural networks and traditional machine learning ...
    • A general-purpose deep learning approach to model time-varying audio effects 

      Martinez Ramirez, M; Benetos, E; Reiss, J; International Conference on Digital Audio Effects (DAFx-19)
      Audio processors whose parameters are modified periodically over time are often referred as time-varying or modulation based audio effects. Most existing methods for modeling these type of effect units are often optimized ...