End-to-end speech emotion recognition using a novel context-stacking dilated convolution neural network KU Leuven
Minimal delay violation-based cross-layer scheduler and resource allocation for DSL networks KU Leuven
An integrated MVDR beamformer for speech enhancement using a local microphone array and external microphones KU Leuven
Development and evaluation of a novel method for adult hearing screening : Towards a dedicated smartphone app KU Leuven
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal Components KU Leuven
Distributed combined acoustic echo cancellation and noise reduction using GEVD-based distributed adaptive node specific signal estimation with prior knowledge KU Leuven
An Automated Speech-in-Noise Test for Remote Testing: Development and Preliminary Evaluation KU Leuven
Purpose The aim of this study was to develop and evaluate a novel, automated speech-in-noise test viable for widespread in situ and remote screening. Method Vowel-consonant-vowel sounds in a multiple-choice consonant discrimination task were used. Recordings from a professional male native English speaker were used. A novel adaptive staircase procedure was developed, based on the estimated intelligibility of stimuli rather than on theoretical ...