• multi-stage noise compensation, including SNR estimation, speech enhancement, spectral feature extaction,  voice activity detection
  • model-domain acoustic normalisation modules
  • multiple simulations to find the best perforing NR method at each stage in the system: the best from each stage is then selected as the best system
  • text-dependent speaker recognition results in terms of EER (in %) for matched and mismatched conditions using the GMM-UBM system